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Martini vs Informatica

Which enterprise integration platform fits your architecture?

Quick Verdict

Martini and Informatica Intelligent Data Management Cloud, or IDMC, are enterprise platforms that overlap across application integration, workflow orchestration, APIs, event-driven processing, data integration, hybrid connectivity, monitoring, and AI.

Martini is designed primarily for enterprise developers who want low-code productivity without giving up Git, Java libraries, custom code, native REST and GraphQL API development, event-driven architecture, or control over where the complete integration runtime executes.

Informatica IDMC is a much broader enterprise data-management platform. Its integration portfolio includes Application Integration, Data Integration, API Center, B2B Gateway, Integration Hub, data ingestion and replication, data quality, governance, MDM, CLAIRE AI, AI Agent Engineering, and headless MCP-enabled data services.

Consider Martini when

You want integration and API development to behave like conventional software development without the breadth and complexity of a full enterprise data-management suite.

  • Build REST and GraphQL APIs, integrations, workflows, event-driven services, and backend processes in one development environment.
  • Use visual development while retaining direct access to Groovy, Java classes, arbitrary JAR files, Spring libraries, custom functions, and scripts.
  • Manage Martini packages directly through Git branches, pull requests, tags, and conventional CI/CD pipelines.
  • Deploy the complete Martini Runtime in Lonti-managed infrastructure, your own cloud account, or on-premises.
  • Use REST, GraphQL, SOAP, AsyncAPI, databases, files, webhooks, and message brokers as first-class integration building blocks.
  • Connect to APIs and applications without connector-specific licensing fees.
  • Use published pricing with a defined transaction allowance or fixed-price unlimited-transaction plans.

Consider Informatica when

You want a broad enterprise data-management and integration platform spanning far beyond application integration.

  • Combine application integration with large-scale ETL, ELT, data ingestion, replication, CDC, data quality, governance, catalog, MDM, B2B, and API management.
  • Use out-of-the-box connectivity to more than one thousand systems, applications, and data sources across the broader Informatica iPaaS portfolio.
  • Build real-time processes through Application Integration and large-scale data pipelines through Cloud Data Integration.
  • Run Application Integration processes on customer-managed Secure Agents while retaining the IDMC SaaS management and design plane.
  • Use API Center to design, publish, secure, govern, version, and monitor REST and SOAP APIs.
  • Use built-in Git-backed source control with check-in, check-out, history, comparisons, project repositories, and REST APIs for source-control automation.
  • Use CLAIRE Copilot, CLAIRE agents, AI Agent Engineering, MCP servers, and headless data-management capabilities.
  • Use a common IPU consumption model across multiple Informatica cloud data-management services.

This comparison focuses on Informatica IDMC, particularly Application Integration and API Center, while also recognising that Informatica's broader Data Integration, B2B, data quality, governance, MDM, and AI capabilities can materially affect a platform decision.

Martini vs Informatica at a Glance

DimensionMartiniInformatica
Product orientationDeveloper-centric integration, API, workflow, and backend automation platformEnterprise data management, integration, API, governance, quality, MDM, B2B, and AI platform
Primary application-integration modelVisual low-code + pro-codeWeb-based Process Designer using BPMN-style processes, connectors, service steps, formulas, and reusable subprocesses
Typical userEnterprise developer, integration developer, solution architectIntegration developer, data engineer, data architect, API developer, enterprise data-management team
Major strengthDeveloper control, Java extensibility, native API development, runtime portability, and simpler commercial modelBreadth of enterprise data management, connectivity, data engineering, governance, B2B, MDM, and AI
Packaged connectivityMarketplace packages plus standards-based API and protocol connectivityMore than one thousand systems, applications, and data sources across Informatica iPaaS
REST API developmentYesYes
SOAP API developmentSupportedYes
Native GraphQL API server developmentYesNo equivalent native GraphQL schema/resolver authoring model identified in current public documentation
Customer-hosted process executionComplete Martini RuntimeApplication Integration Process Server on customer-managed Secure Agent
Full platform self-hostingYes for Martini RuntimeNo equivalent self-hosted IDMC control/design plane identified
Git source controlNative repository-oriented workflowYes, platform-integrated Git source control
Git merge modelStandard Git branches and mergesPlatform check-out/check-in model; Informatica pull does not perform Git merges
Commercial modelTransaction allowance or fixed-price unlimited-transaction plansConsumption-based Informatica Processing Units with service-specific meters

Informatica is considerably broader than Martini. A customer evaluating only application integration may use a relatively small subset of IDMC, while an organisation seeking data integration, quality, governance, MDM, B2B, API management, and AI data services can use the same Informatica platform across those workloads.

Martini is intentionally narrower. Its focus is APIs, application integration, workflows, event processing, automation, backend services, custom code, and deployable runtimes rather than being an enterprise-wide data-management suite.

Integration and Workflow Development

CapabilityMartiniInformatica Application Integration
Visual workflow / process builderYesYes
Conditional logicYesYes
Parallel processingYesYes
Reusable subprocessesYesYes
Fault handlingYesYes
Scheduled processingYesYes
REST-triggered processesYesYes
SOAP-triggered processesYesYes
Event-driven integrationYesYes
KafkaYesYes
RabbitMQYesYes
JMSYesYes
AMQPSupported through messaging architectureYes
Amazon SQSYesYes
Database operationsYesYes
File / FTP processingYesYes
Human workflowsWorkflow implementation possibleDedicated guides and human-workflow capabilities
Long-running stateful processesYesYes

Informatica Application Integration uses Process Designer to build processes with decisions, parallel paths, service calls, subprocesses, waits, event handling, assignments, and fault-handling logic. The designer uses BPMN concepts in the underlying implementation.

Processes can expose REST and SOAP services, consume packaged or custom connectors, react to listener-based events, and execute on Informatica-managed infrastructure or customer-managed Secure Agent infrastructure according to the selected runtime model.

Martini takes a similar visual-orchestration approach but places workflows alongside services, APIs, functions, Java classes, database services, packages, and event endpoints within the same developer project.

APIs and Connectivity

CapabilityMartiniInformatica
Consume REST APIsYesYes
Consume SOAP servicesYesYes
Consume GraphQL APIsYesPossible through HTTP/service integration patterns; no dedicated GraphQL application-development model identified
Consume AsyncAPI definitionsYesNo equivalent first-class AsyncAPI definition workflow identified in current public documentation
Create REST APIsYesYes
Create SOAP APIsSupportedYes
Create OData servicesCan expose data through Martini API capabilitiesYes
Create native GraphQL APIsYesNo equivalent native GraphQL schema/resolver implementation identified
OpenAPI specificationImport and exportAPI Center supports OpenAPI; Application Integration processes expose Swagger/OpenAPI specifications
API gatewayAPI publishing and security capabilitiesYes, API Gateway through API Center
API lifecycle managementYesYes
API rate limitingSupportedYes
OAuth 2.0YesYes
JWTYesYes
IP filteringSupportedYes
API privacy policiesSecurity/governance capabilitiesYes
API analyticsTracker and metricsYes
Custom connectorsPackages, Java, services, and custom endpointsService Connectors and broader INFAConnect capabilities

Informatica API Center is a dedicated API lifecycle product rather than simply an HTTP trigger for an integration workflow. It can design REST API assets, map operations to Application Integration processes, manage custom REST and SOAP APIs, apply policies, manage versions, and expose managed APIs through API Gateway.

API Center supports security policies including basic authentication, OAuth 2.0, and JWT as well as IP filtering, operational policies, privacy policies, and rate controls.

Martini's API model is more tightly integrated with backend development. REST and GraphQL APIs can invoke services, workflows, databases, events, and custom Java logic inside the same Martini package.

Extensibility and Custom Development

CapabilityMartiniInformatica
Visual expressions and formulasYesYes
XQuery / XML expressionsSupportedYes
Custom service connectorsYesYes
Generic API integrationYesYes
Run OS shell commandsYesYes on Secure Agent with Shell Service enabled
Direct Java classes in normal project logicYesNo equivalent general Application Integration project model identified
Arbitrary JAR dependenciesYesNo equivalent ordinary Application Integration process capability identified
Spring-library reuseYesNo equivalent standard Application Integration capability identified
GroovyYesNot a standard Application Integration scripting model identified
Custom connector frameworkMartini package/service/library modelYes, including service connectors and INFAConnect in the broader platform
External custom servicesYesYes

Informatica provides several strong extensibility mechanisms. Application Integration service connectors can model custom external services, generic HTTP and API patterns can reach services without packaged connectors, and Secure Agent processes can invoke operating-system commands through the Shell Service.

The broader Informatica platform also provides connector-development frameworks such as INFAConnect.

Martini exposes the JVM more directly inside ordinary project development. Developers can add Java classes, arbitrary JAR dependencies, Spring libraries, Groovy logic, custom functions, and scripts without packaging custom business logic as an external service or formal connector.

Data Integration, Ingestion, and B2B

CapabilityMartiniInformatica
Application integrationMajor capabilityMajor capability
ETL / ELT mappingsSupported through workflows, mappings, database, and file processingMajor dedicated Data Integration capability
Large-scale cloud data engineeringCan implement data-processing solutionsMajor IDMC product area
Database ingestionSupported through integration workflowsDedicated ingestion and replication services
Application ingestionSupported through APIs/connectorsDedicated ingestion and replication services
Change data captureSupported according to endpoint/database architectureDedicated CDC services
Data qualityCan implement validation/transformation logicDedicated enterprise Data Quality service
Data catalogNot a core Martini functionDedicated Data Governance and Catalog
Master data managementNot a core Martini functionDedicated MDM and 360 applications
B2B partner managementCan build partner integrationsDedicated B2B Gateway capabilities
EDI X12 / EDIFACTCan integrate through applicable formats/componentsDedicated B2B and Industry Solutions support
Healthcare formatsCan integrate through standards/APIsDedicated support includes HL7, HIPAA, HIX, and FHIR
Finance formatsCan integrate through standards/APIsDedicated support includes NACHA and SWIFT

This is one of Informatica's clearest advantages. IDMC is not merely an application-integration product. Dedicated services exist for data integration, ingestion, replication, CDC, data quality, governance, cataloging, MDM, B2B, and industry-specific data processing.

For organisations trying to standardise enterprise data management as well as application integration on one strategic platform, this breadth can be important.

Martini is intentionally more focused. Its strength is using APIs, services, workflows, databases, files, messages, events, and code to build operational integrations and backend services rather than providing a complete data-governance and MDM suite.

Development Lifecycle

CapabilityMartiniInformatica
Git source controlYesYes
GitHubYesYes
GitLabYesSupported according to service/repository configuration
BitbucketYesSupported according to service/repository configuration
Azure DevOps repositoryYesYes
Project-level repositoriesStandard repository modelYes
Check-in / commit historyYesYes
Object comparisonStandard Git diffYes
Checkout lockingNot required by GitYes in Informatica read/write source-control workflow
Native merge on pullYes through GitNo; Informatica documents that a platform pull cannot merge changes
Branch / pull-request workflowStandard Git workflowRepository can participate in broader Git workflows, but IDMC's built-in editing model uses check-out/check-in semantics
Source-control REST APIsGit/provider APIs and Martini automationYes
Export/import deployment assetsYesYes
DEV / TEST / PRODYesYes through separate organizations/environments and deployment processes
CI/CD automationStandard Git CI/CDYes through source-control APIs, export/import APIs, platform REST APIs, and external DevOps tooling

Informatica has genuine Git-backed source control and should not be described as lacking Git. Projects, folders, and assets can be linked to repositories, checked out, checked in, pulled, compared, restored, and managed through platform REST APIs.

However, Informatica deliberately mediates the Git workflow. A developer normally checks out an asset exclusively before changing it. Check-in performs a commit and push together, while an Informatica pull does not merge conflicting changes.

Martini follows a more conventional repository-first development model where Martini packages are treated like ordinary source-controlled software projects and developers use the Git provider's normal branch, merge, and pull-request semantics.

Deployment and Infrastructure

Deployment requirementMartiniInformatica
Vendor-managed SaaS control planeAvailable through Lonti-managed offeringsYes, IDMC
Vendor-managed process runtimeYesYes through applicable Informatica-managed runtime options including Advanced Serverless
Customer-managed process executionYesYes, Process Server on Secure Agent
Customer cloud executionFull Martini RuntimeSecure Agent / Process Server can run in customer infrastructure
On-premises executionFull Martini RuntimeSecure Agent / Process Server
Full control/design plane on premisesMartini Runtime itself is self-hostable; Lonti Console functions depend on selected modelNo equivalent self-hosted IDMC SaaS control plane identified
High availabilityYesYes through Secure Agent groups and clustering
Load balancingYesYes
Event listener failoverYesSupported for applicable listener-based connectors with Secure Agent Cluster
Customer controls runtime host resourcesYesYes for Secure Agent infrastructure
Cloud control-plane dependencyDepends on Martini deployment architectureYes for normal IDMC/Secure Agent deployments

Informatica Secure Agent is more than a simple network proxy. For Application Integration, its Process Server service executes processes, connectors, and connections on customer-managed infrastructure.

Secure Agent groups can distribute workloads, and Application Integration supports clustered Process Server configurations for high availability and failover in supported patterns.

The distinction is that IDMC remains the central SaaS design, metadata, administration, source-control, and management plane. Deploying a Secure Agent does not self-host the complete Informatica platform.

Martini Customer Cloud deploys the complete Martini Runtime application into the customer's cloud or on-premises environment.

Monitoring and Operations

CapabilityMartiniInformatica
Process execution historyTrackerYes
Search process instancesYesYes
Running / completed / faulted statusYesYes
Step-level detailYesYes
Input valuesYesYes
Fault detailsYesYes
Suspend processesWorkflow-specific controlsYes
Resume suspended processesWorkflow-specific controlsYes
Terminate processesYesYes
Process Server health monitoringRuntime metricsYes
Threshold alertsExternal/platform monitoringYes
Usage / cost telemetryTransaction and runtime usageDetailed IPU dashboards and consumption reporting
Persistent business transaction storeYes, TrackerProcess-instance monitoring rather than a directly equivalent standalone transaction-store model
Stored transaction resubmissionYesNo general Tracker-equivalent resubmit model identified in the current public Application Integration documentation reviewed

Informatica Application Integration Console provides detailed runtime visibility into process instances, including current status, duration, runtime environment, input values, step-level execution information, and detailed fault information.

Process Server also exposes configurable monitoring thresholds for runtime health and can generate warning or error alerts when configured limits are reached.

Informatica additionally provides detailed IPU usage dashboards, reports, metering tags, and threshold alerts, which are important because the same IPU pool can be consumed across different IDMC services.

Martini Tracker differs conceptually by treating the business transaction itself as a first-class persisted object. It can store request and response documents, payloads, metadata, errors, and execution state and directly resubmit selected transactions.

AI-Assisted Development and Agents

AI capabilityMartiniInformatica
Natural-language process creationYesYes, CLAIRE Copilot
Process summarisationYesYes
AI-assisted integration developmentYesYes
Build custom AI agentsYesYes through AI Agent Engineering and Application Integration patterns
No-code agent developmentWorkflow-native visual agent modelYes
Agent lifecycle managementGovernance direction including approvals, scopes, roles, and auditingAI Agent Engineering includes lifecycle, testing, monitoring, logging, governance, and SDLC capabilities
Agent hub / reusable agentsReusable workflow and agent assetsYes
RAGSupportedYes
Multiple LLM providersYesYes
OpenAI / Azure OpenAISupportedYes
GeminiSupportedYes
Amazon BedrockSupportedYes
MCPYesYes
Expose integration process as MCP tool/serverYesYes
Headless data-management MCP servicesIntegration/tool MCP focusYes, a major Informatica 2026 initiative
AI data governance foundationIntegration governance focusMajor strength through data quality, metadata, governance, MDM, and CLAIRE

CLAIRE Copilot for Application Integration can create a process from a natural-language description and summarise existing processes.

Informatica has also expanded beyond development assistance into runtime agents. AI Agent Engineering is positioned as a platform for building, connecting, orchestrating, testing, monitoring, governing, and managing custom enterprise agents.

Application Integration can orchestrate LLMs and enterprise services, and Informatica documents patterns for exposing an Application Integration process as an MCP server.

Informatica's broader 2026 Headless strategy exposes data-management capabilities such as metadata exploration, data quality, and master-data operations through MCP so external agents can invoke governed Informatica services without operating inside the IDMC user interface.

Martini's AI strategy places agents inside the same workflow-centric runtime used for APIs, application integration, services, events, and custom Java code.

Martini vs Informatica Pricing

Martini and Informatica use fundamentally different commercial abstractions.

Martini primarily measures distinct workflow or service executions as Martini transactions. Elastic and Customer Cloud remove transaction metering.

Informatica IDMC uses Informatica Processing Units, or IPUs. The number of IPUs consumed depends on the service and its published scalar. Application Integration, API Center, Data Integration, ingestion, B2B, Integration Hub, data quality, governance, and other IDMC services use different meters.

Martini pricing

FeatureEssentialsElasticCustomer Cloud
Starting price$495/month$3,995/month$4,500/month
Martini transactions100,000/monthUnlimitedUnlimited
API connector feesNoneNoneNone
Development workspace111
Staging workspace111
Production1 production server3 load-balanced production serversConfigurable production servers
Included production capacityDefined production server12 vCPUs total12 vCPUs total
DeploymentLonti-managedIsolated Lonti-managed environmentCustomer cloud or on-premises

Informatica IPU pricing

Commercial characteristicCurrent public information
Primary unitInformatica Processing Unit
Dollar price per IPUNot publicly listed as a universal fixed price; obtain quote
Consumption modelService-specific consumption measured against an IPU pool
Volume pricingSupported
Flex IPUAvailable under applicable commercial arrangements
Usage dashboardsYes
Consumption alertsYes
Department/service chargeback visibilitySupported through detailed IPU reporting
Multiple IDMC services use same IPU poolYes for eligible services

Application Integration – customer-managed Secure Agent

Application Integration API-call tierMetricIPUs per metric unit
First 20,000 API callsPer 1,000 API calls1.453
20,000–100,000Per 1,000 API calls1.163
100,000–1,000,000Per 1,000 API calls0.038
1,000,000–12,500,000Per 1,000 API calls0.032
Above 12,500,000Per 1,000 API calls0.015

The current September 2026 Product Description Schedule uses API Calls as the primary scalar for current Application Integration subscriptions. Older IPU subscriptions from before February 7, 2025 and approved renewals or amendments can retain a compute-hour meter instead.

Application Integration with Advanced Serverless

Application Integration API-call tierMetricIPUs per metric unit
First 20,000 API callsPer 1,000 API calls2.5
20,000–100,000Per 1,000 API calls2.0
100,000–1,000,000Per 1,000 API calls0.065
1,000,000–12,500,000Per 1,000 API calls0.055
Above 12,500,000Per 1,000 API calls0.025

API Center

MetricIPU rate
API calls13.33 IPUs per 1 million API calls

Other examples from the IDMC rate card

ServicePrimary meter
Data IntegrationCompute units per hour
Advanced Data IntegrationCompute units per hour
Application / Database IngestionData volume per GB
CDCRows processed
Integration HubEvents processed
B2B and Industry SolutionsCompute units per hour
Data Governance and CatalogAssets, API calls, or compute depending on capability
CLAIRE GPTQueries

Martini Transactions vs Informatica IPUs

How Martini counts a transaction

A Martini transaction is one distinct execution of a workflow or service.

  • Workflow steps
  • Transformations
  • Database operations
  • Internal service calls
  • External API calls
  • Message operations
  • Custom code executed inside the workflow

Those operations remain part of the same Martini transaction when they occur within one workflow or service execution.

How Informatica Application Integration is currently metered

For current Application Integration IPU subscriptions, Informatica's September 2026 rate card uses API Calls as the scalar and applies a tiered number of IPUs per 1,000 API calls.

The per-thousand IPU rate falls materially as call volume increases. This means Informatica Application Integration is consumption-based but does not scale linearly at a constant IPU-per-call rate.

Application Integration with Advanced Serverless uses the same API-call concept but consumes more IPUs at each tier because Informatica provides the serverless execution environment.

API Center adds a separate meter

If API Center is used to design, govern, and route an API, API Center itself currently consumes 13.33 IPUs for each million API calls in addition to any separately metered backend IDMC service.

DimensionMartiniInformatica
Core application-integration usage unitWorkflow/service transactionIPUs calculated from Application Integration API-call tiers
Internal workflow stepsDo not increase transaction countNot themselves identified as separate Application Integration IPU meters in the current API-call rate card
High-volume discount effectMove to unlimited planLower IPUs per thousand calls at higher tiers
API gateway usageIncluded in Martini platform capabilities according to planAPI Center uses separate API-call IPU meter
Data integration workloadsPart of Martini runtime/workflow modelMay consume different IDMC meters such as compute hours, rows, or data volume
Dollar conversionPublic Martini plan pricesDepends on contracted IPU pricing

Do Martini and Informatica Offer Unlimited Usage?

Martini

Yes. Lonti Elastic, from $3,995/month, and Customer Cloud, from $4,500/month, include unlimited Martini transactions.

Unlimited transactions does not mean unlimited compute. Throughput remains constrained by runtime capacity and workload characteristics.

Informatica

No publicly advertised fixed-price unlimited-IPU plan was identified in the current pricing and product-schedule material reviewed.

Informatica uses consumption-based IPUs, with significant volume-tier reductions for many services. Application Integration's rate per 1,000 API calls falls sharply at higher tiers, but additional consumption continues to consume IPUs.

Flex IPU and volume-tier arrangements can make large or variable workloads more economical, and individually negotiated enterprise agreements can differ.

Which Platform Fits Your Use Case?

Both

Complex enterprise application integration

Both platforms can orchestrate complex integrations involving APIs, databases, files, messaging, event streams, transformations, conditional logic, reusable services, and private systems.

Informatica

Enterprise data-management standardisation

Consider Informatica when the strategic requirement spans data integration, ingestion, CDC, data quality, governance, catalog, MDM, B2B, API management, and application integration rather than application integration alone.

Informatica

Large-scale ETL and ELT

Consider Informatica when large-scale data engineering, pushdown processing, warehouse/lake integration, replication, and data-quality pipelines are major parts of the workload.

Martini

Developer-led Java integration

Consider Martini when developers frequently need direct access to Java classes, existing JAR files, Spring libraries, Groovy, or JVM-based business logic inside ordinary integration projects.

Martini

Native GraphQL backend development

Consider Martini when GraphQL schemas, queries, mutations, resolvers, and subscriptions need to be implemented directly by the integration/backend platform.

Informatica

Dedicated enterprise API lifecycle management

Consider Informatica when a dedicated API Center for design, lifecycle, policies, analytics, API gateway functionality, REST/SOAP governance, privacy controls, and enterprise-wide API management is central to the programme.

Martini

Conventional Git collaboration

Consider Martini when developers want standard Git branches, merges, pull requests, and repository-first development without platform-enforced object checkout locks.

Informatica

Platform-controlled Git governance

Consider Informatica when exclusive asset checkout, controlled check-in, central repository configuration, platform comparison, and source-control REST APIs align with the organisation's integration governance model.

Both

Customer-hosted integration execution

Both can execute application integration workloads on customer-managed infrastructure. Informatica uses Process Server on Secure Agent while retaining the IDMC SaaS control plane. Martini can deploy the Martini Runtime itself.

Martini

Self-hosted integration runtime with minimal SaaS dependency

Consider Martini when the organisation wants the integration application runtime itself under customer control and does not want application execution centred on an external SaaS design/control platform.

Informatica

B2B, industry data formats, and partner integration

Consider Informatica for extensive partner-management and industry-format requirements involving EDI X12, EDIFACT, HL7, HIPAA, FHIR, NACHA, SWIFT, ACORD, and related dedicated capabilities.

Informatica

Agentic AI backed by governed enterprise data

Consider Informatica when agent development must be closely coupled with enterprise metadata, data quality, governance, MDM, cataloging, and headless data-management services.

Martini

Agentic integration inside an application runtime

Consider Martini when AI agents should share the same workflow, API, service, event, Java, and deployment architecture as conventional backend integrations.

Martini

Simple published commercial model

Consider Martini when buyers want to estimate production cost from public plan prices and a single principal transaction metric rather than modelling multiple service-specific IPU meters.

The Bottom Line

Martini and Informatica overlap significantly in API and application integration, but Informatica addresses a much larger enterprise data-management problem.

Informatica's centre of gravity is the Intelligent Data Management Cloud. Its strengths include broad connectivity, application and data integration, ingestion and replication, data quality, governance, cataloging, MDM, B2B, API lifecycle management, CLAIRE AI, AI Agent Engineering, and headless MCP-enabled data services.

Martini's centre of gravity is developer-first application integration and backend development. It combines APIs, workflows, databases, messaging, events, Java extensibility, Git, CI/CD, monitoring, and deployable runtimes in a smaller and more focused platform.

The pricing models reflect those different scopes. Martini uses a transaction model and then removes transaction metering on its higher plans. Informatica uses IPUs as a common currency across many services, with each service defining its own consumption scalar and rate card.

Do we need an enterprise-wide data-management platform that also provides application integration, or do we primarily need a developer-centric integration and backend runtime with fewer platform and commercial abstractions?

Evaluate Martini and Informatica with the Same Project

Because Informatica's breadth can obscure the application-integration comparison, a useful proof of concept should test the same operational integration in both products before introducing unrelated governance or MDM requirements.

  1. Consume an external REST API.
  2. Consume a SOAP service.
  3. Consume a GraphQL API.
  4. Build and publish a REST API.
  5. Implement a GraphQL API server requirement.
  6. Connect to a relational database.
  7. Transform a complex nested payload.
  8. Consume a Kafka or RabbitMQ event.
  9. Use a packaged enterprise connector.
  10. Implement an integration for which no packaged connector exists.
  11. Add custom executable logic.
  12. Attempt to reuse an existing Java or Spring library.
  13. Create reusable subprocesses or services.
  14. Commit the project to Git.
  15. Develop two changes concurrently and reconcile them.
  16. Promote the assets through development, test, and production.
  17. Deploy application-integration execution inside customer infrastructure.
  18. Configure high availability for production execution.
  19. Intentionally generate a process failure.
  20. Inspect inputs, step history, fault details, and runtime information.
  21. Attempt to replay or resubmit the failed business transaction.
  22. Expose the integration through an API gateway.
  23. Expose an integration capability through MCP.
  24. Measure Informatica IPU consumption and Martini transaction consumption under the same workload.

Compare development effort, connector coverage, Java extensibility, API architecture, source-control workflow, deployment model, SaaS dependencies, monitoring, operational recovery, AI capabilities, measured usage, and production cost.

Worked pricing scenarios

5,000 Application Integration API Calls per Month

A straightforward API-driven integration invokes an Application Integration process 5,000 times per month.

Martini

Calculation
5,000 workflow or service executions = 5,000 Martini transactions
Plan
Essentials
Price
$495/month

Informatica Intelligent Data Management Cloud

Calculation
5 × 1.453 IPUs per 1,000 calls
Price
Depends on contracted price per IPU
MetricMartiniInformatica
API/process invocations5,0005,000
Usage unit5,000 transactions7.265 IPUs
Public monthly dollar price$495Not determinable without IPU quote

The two usage units cannot be converted directly into one another. Informatica publishes the IPU-consumption formula but not one universal public dollar value for each IPU.

50,000 Application Integration API Calls per Month

An integration invokes an Application Integration process 50,000 times each month.

Martini

Calculation
50,000 workflow executions = 50,000 Martini transactions
Plan
Essentials
Price
$495/month

Informatica Intelligent Data Management Cloud

Calculation
First 20,000 calls: 20 × 1.453 = 29.06 IPUs. Next 30,000 calls: 30 × 1.163 = 34.89 IPUs.
Price
Depends on contracted price per IPU
MetricMartiniInformatica
Process invocations50,00050,000
Metered usage50,000 transactions63.95 IPUs
Published dollar total$495Custom IPU pricing

Informatica's tiered model already reduces the incremental IPU rate once monthly call volume passes 20,000.

100,000 Application Integration API Calls per Month

An API-backed business process executes 100,000 times each month.

Martini

Calculation
100,000 service executions = 100,000 Martini transactions
Plan
Essentials
Price
$495/month

Informatica Intelligent Data Management Cloud

Calculation
20 × 1.453 + 80 × 1.163
Price
Depends on contracted price per IPU
MetricMartiniInformatica
Business/API calls100,000100,000
Usage100,000 Martini transactions122.10 IPUs
Public price$495Not publicly calculable in dollars

Martini reaches the published Essentials allowance at this workload. Informatica remains consumption-based through IPUs.

1 Million Application Integration API Calls per Month

A production integration invokes an Informatica Application Integration process one million times per month.

Martini

Calculation
1,000,000 workflow executions
Plan
Elastic
Price
$3,995/month

Informatica Intelligent Data Management Cloud

Calculation
20 × 1.453 + 80 × 1.163 + 900 × 0.038
Price
Depends on contracted IPU pricing
MetricMartiniInformatica
Application invocations1,000,0001,000,000
Usage modelUnlimited transactions on Elastic156.30 IPUs
Published monthly dollar amount$3,995Not publicly determinable

Informatica's volume tiers make the incremental IPU consumption between 100,000 and one million calls much lower than the initial call tiers.

1 Million Calls Through Informatica API Center

One million managed API requests pass through API Center and invoke an Application Integration process on a Secure Agent.

Martini

Calculation
1,000,000 API service executions
Plan
Elastic
Price
$3,995/month

Informatica Intelligent Data Management Cloud

Price
Depends on contracted IPU pricing
ComponentMartiniInformatica
Backend integrationCovered by Martini plan156.30 IPUs
API gateway / API CenterNo separate usage meter assumed13.33 IPUs
Illustrative combined usageUnlimited Martini transactions169.63 IPUs

Informatica's unified IPU model does not mean only one meter applies. A workload can consume IPUs from more than one IDMC service when API Center and Application Integration are both involved.

1 Million Calls Using Informatica Advanced Serverless

The same one-million-call workload uses Informatica-managed Advanced Serverless rather than customer-managed Secure Agent execution.

Martini

Plan
Elastic
Price
$3,995/month

Informatica Intelligent Data Management Cloud

Calculation
20 × 2.5 + 80 × 2.0 + 900 × 0.065
Price
Depends on contracted price per IPU
MetricMartini ElasticInformatica Advanced Serverless
Calls / transactions1,000,0001,000,000
Metered usageUnlimited268.50 IPUs
InfrastructureLonti-managed isolated runtimeInformatica-managed serverless runtime

Informatica consumes more IPUs for the Advanced Serverless execution model than the Secure Agent Application Integration rate card, reflecting the different runtime model.

10 Million Application Integration API Calls per Month

A high-volume Application Integration workload executes ten million API calls per month using the current Secure Agent rate card.

Martini

Plan
Elastic
Price
$3,995/month

Informatica Intelligent Data Management Cloud

Calculation
29.06 + 93.04 + 34.20 + 288.00
Price
Depends on contracted IPU pricing
MetricMartiniInformatica
Monthly calls10,000,00010,000,000
UsageUnlimited transactions444.30 IPUs
Public dollar price$3,995Custom IPU price required

The Informatica rate per additional thousand calls becomes very small at higher tiers, but consumption remains metered rather than becoming unlimited.

Workflow Complexity Increases Without Increasing Process Invocations

A process continues to receive 100,000 API invocations per month but expands from five internal processing steps to twenty-five.

Martini

Price
$495/month on Essentials if runtime capacity remains sufficient
Before
100,000 Martini transactions
After
100,000 Martini transactions

Informatica Intelligent Data Management Cloud

Before
122.10 IPUs under the stated Application Integration API-call assumptions
After
122.10 IPUs under the same API-call assumptions

The current Application Integration IPU rate card is API-call based rather than a simple per-process-step meter. Internal process complexity therefore does not automatically multiply Application Integration IPUs in the way an action-metered automation product would, although it can increase runtime-resource requirements or invoke other separately metered IDMC services.

Application Integration Plus Data Integration

A business process invokes Application Integration and also launches a substantial Data Integration workload.

Martini

Price
Depends on selected Martini plan

Informatica Intelligent Data Management Cloud

Price
Total IPU consumption is the combination of the relevant service meters

This is where the breadth of the Informatica model becomes most important. IPUs provide one commercial currency, but the underlying usage model changes according to the IDMC service doing the work.

What these scenarios show

These scenarios compare the structure of the published commercial models rather than claiming that Martini will always cost less than Informatica. Informatica does not publish one universal retail dollar price per IPU.

Martini cost drivers

  • Workflow or service execution volume on Essentials.
  • Selected Martini plan.
  • Runtime infrastructure capacity.
  • Managed versus customer-controlled deployment.
  • Optional infrastructure services.

Informatica Intelligent Data Management Cloud cost drivers

  • Contracted dollar price per IPU.
  • Application Integration API-call volume.
  • Secure Agent versus Advanced Serverless execution.
  • API Center call volume.
  • Data Integration compute usage.
  • Ingestion data volume.
  • CDC row counts.
  • Integration Hub event counts.
  • B2B processing.
  • Other IDMC service usage.
  • Volume tiers.
  • Flex IPU terms.
  • Negotiated enterprise agreement.

Informatica's IPU model provides a common commercial currency across a very broad data-management platform, but accurately forecasting cost requires understanding the meter attached to every IDMC service in the architecture. Martini uses a simpler application-integration abstraction: executions are transactions, and transaction metering disappears entirely on Elastic and Customer Cloud.

Frequently asked questions

What is the main difference between Martini and Informatica?

Martini is primarily a developer-centric integration, API, automation, and backend runtime. Informatica IDMC is a much broader enterprise data-management platform covering application integration, data integration, ingestion, replication, API management, B2B, data quality, governance, cataloging, MDM, AI, and other data-management services.

How much does Informatica cost?

Informatica uses consumption-based Informatica Processing Units, or IPUs. Different IDMC services consume IPUs using different meters. Informatica publishes IPU rate cards for those services but does not publish one universal fixed retail dollar price per IPU. Exact pricing therefore requires a quote or the customer's contracted IPU rate.

How much does Martini cost?

Lonti Essentials starts at $495/month and includes 100,000 Martini transactions. Elastic starts at $3,995/month and includes unlimited Martini transactions. Customer Cloud starts at $4,500/month and includes unlimited Martini transactions with deployment within customer-controlled cloud or on-premises infrastructure.

What is an Informatica Processing Unit?

An IPU is Informatica's common consumption currency for eligible IDMC services. The amount of IPUs consumed depends on the service and its meter. Examples include API calls, compute hours, rows processed, data volume, events, assets, or queries.

How is Informatica Application Integration currently metered?

In Informatica's September 2026 Product Description Schedule, current Application Integration subscriptions are primarily metered using API Calls per thousand calls, with progressively lower IPU rates at higher call volumes. Older eligible subscriptions can continue to use a compute-hour model.

What counts as a Martini transaction?

A Martini transaction is one distinct workflow or service execution. Multiple workflow steps, transformations, database operations, integrations, API calls, message operations, and custom logic within that execution do not each create another Martini transaction.

Is an Informatica API call equivalent to a Martini transaction?

No. They can align in a simple architecture where one inbound call invokes one integration process, but they are different commercial units. Informatica can also apply separate IPU meters for API Center, Data Integration, ingestion, B2B, or other IDMC services used by the same solution.

Does Informatica charge for every process step?

The current Application Integration IPU rate card is based on API-call volume rather than a published charge for every internal process step. However, invoking other IDMC services from a process can create consumption under those services' separate IPU meters.

Does Martini offer unlimited transactions?

Yes. Lonti Elastic and Customer Cloud include unlimited Martini transactions.

Does Informatica offer unlimited IPUs?

No publicly advertised fixed-price unlimited-IPU plan was identified in the current material reviewed. Informatica applies consumption-based IPUs with substantial volume-tier reductions and can offer different negotiated commercial arrangements.

How many connectors does Informatica have?

Informatica states that its iPaaS provides out-of-the-box connectivity to more than one thousand systems, applications, and data sources across the broader integration portfolio.

Does Martini have connectors like Informatica?

Yes, although Informatica has a significantly larger packaged connectivity ecosystem. Martini provides native endpoints, packages, and standards-based connectivity through REST, GraphQL, SOAP, AsyncAPI, databases, files, webhooks, message brokers, and custom code. Lonti does not charge an additional API connector fee according to which application vendor is connected.

Can Informatica run integrations on premises?

Yes. Application Integration Process Server can run on a customer-managed Secure Agent installed in on-premises or customer-cloud infrastructure. The IDMC design, control, metadata, and administration plane remains cloud-based.

Can Martini run on premises?

Yes. The Martini Runtime itself can be deployed in customer-controlled cloud or on-premises infrastructure.

Does Informatica support high availability for customer-hosted integration execution?

Yes. Application Integration supports Secure Agent groups, load-balanced configurations, and Secure Agent Cluster configurations for applicable workloads and listener-based connectors.

Does Informatica support Git?

Yes. IDMC can connect projects, folders, and assets to Git repositories and supports check-out, check-in, pull, commit history, comparisons, restore operations, project-level repositories, and source-control REST APIs.

How does Informatica's Git model differ from Martini?

Informatica integrates Git into a platform-managed source-control workflow. Developers typically check out and exclusively lock an asset before editing it, and check-in performs commit and push together. Informatica also documents that its pull action does not merge changes. Martini uses ordinary repository-first Git workflows with normal branching, merging, and pull requests.

Do both Martini and Informatica support CI/CD?

Yes. Martini uses conventional Git repositories and mainstream CI/CD systems directly. Informatica supports source-control APIs, project repositories, export/import APIs, environment promotion, and external DevOps automation.

Can Informatica use custom code?

Yes, through service connectors, formulas, XQuery and XML expressions, external services, shell commands on Secure Agents, connector-development frameworks, and other extensibility mechanisms. Its normal Application Integration project model is not equivalent to directly adding arbitrary Java JAR and Spring dependencies to a project.

Can Martini use custom Java libraries?

Yes. Martini can directly use Java classes, arbitrary JAR files, Spring libraries, Groovy methods, custom functions, and scripts within ordinary Martini projects.

Can both platforms create REST APIs?

Yes. Martini creates REST APIs directly as application assets. Informatica API Center can design REST APIs and map operations to Application Integration processes, while Application Integration processes can also expose REST service endpoints.

Can both platforms create SOAP APIs?

Yes. Informatica Application Integration can expose SOAP services and API Center can publish and manage SOAP APIs. Martini also supports SOAP integration patterns.

Can both platforms create GraphQL APIs?

Martini natively creates GraphQL schemas, queries, mutations, resolvers, and subscriptions. An equivalent native GraphQL application-server authoring model was not identified in the current Informatica Application Integration and API Center documentation reviewed.

Does Informatica provide API management?

Yes. API Center provides API design, publishing, lifecycle management, policies, API Gateway execution, security, rate limits, privacy controls, analytics, versioning, and management of REST and SOAP APIs.

How is Informatica API Center priced?

The September 2026 Informatica Product Description Schedule lists API Center at 13.33 IPUs per one million API calls. The dollar value depends on the customer's contracted IPU price.

Is Informatica stronger for data integration than Martini?

Informatica has a much broader dedicated data-engineering portfolio. IDMC includes services specifically for Data Integration, Advanced Data Integration, ingestion, replication, CDC, data quality, governance, cataloging, MDM, and related enterprise data-management workloads. Martini can perform substantial data processing but is positioned more around APIs, application integration, automation, workflows, and backend services.

Does Informatica support B2B and EDI?

Yes. Informatica provides dedicated B2B and Industry Solutions capabilities including partner-management and support for formats and standards such as EDI X12, EDIFACT, HL7, HIPAA, FHIR, NACHA, SWIFT, and ACORD.

Does Informatica support AI-assisted integration development?

Yes. CLAIRE Copilot for Application Integration can generate processes from natural-language prompts, summarise processes, and answer product questions.

Does Informatica support AI agents?

Yes. Informatica offers AI Agent Engineering and agentic integration capabilities designed to build, connect, orchestrate, test, monitor, and govern enterprise agents. Application Integration can also orchestrate LLMs and enterprise systems.

Does Informatica support MCP?

Yes. Informatica documents how Application Integration processes can be exposed as MCP servers and has expanded MCP substantially through its Headless Data Management strategy, including MCP servers for metadata, master data, and data-quality capabilities.

What is Informatica Headless?

Informatica Headless exposes data-management capabilities as callable APIs and MCP services so external applications, AI agents, IDEs, and agent platforms can invoke Informatica data-quality, metadata, MDM, and other capabilities without requiring users to work directly in the traditional IDMC interface.

Is Martini an alternative to Informatica?

Yes for many API, application-integration, workflow, event, messaging, database, and backend-automation requirements. Informatica's scope is much broader, so organisations that also need enterprise data quality, governance, MDM, large-scale data engineering, B2B, and cataloging should include those capabilities in the comparison rather than treating the products as identical in scope.

Methodology

This comparison is based primarily on current first-party documentation from Lonti and Informatica from Salesforce.

  • Identify the date on which the comparison was last reviewed.
  • Focus the core comparison on Informatica Intelligent Data Management Cloud rather than legacy PowerCenter.
  • Use Application Integration as the closest Informatica analogue for Martini workflow and application-integration capabilities.
  • Use API Center for current Informatica API-lifecycle and gateway capabilities.
  • Recognise Data Integration, B2B, governance, MDM, data quality, ingestion, and AI where their broader platform scope affects the buying decision.
  • Use the Informatica Cloud and Product Description Schedule effective September 11, 2026 for current IPU meters.
  • Do not reuse older compute-hour Application Integration pricing as the default for new subscriptions; the current rate card primarily uses API calls.
  • Acknowledge that eligible pre-February-7-2025 subscriptions and approved renewals or amendments can retain older compute-hour metering.
  • Do not invent a public dollar value for an IPU because Informatica does not publish one universal fixed list price.
  • Distinguish Application Integration IPU consumption from API Center and other separately metered IDMC services.
  • Distinguish a Secure Agent-hosted Process Server from self-hosting the complete IDMC control plane.
  • Do not describe Informatica as lacking Git; IDMC supports Git-backed source control.
  • Explain that Informatica's built-in Git workflow uses checkout locking and platform-controlled check-in/pull semantics.
  • Distinguish GraphQL consumption or generic HTTP access from native GraphQL API server implementation.
  • Acknowledge areas where Informatica has substantial strengths, particularly data engineering, data quality, governance, MDM, B2B, API lifecycle management, connectivity, and enterprise AI data management.
  • Treat AI Agent Engineering, Headless, CLAIRE, MCP functionality, pricing, rate cards, and service packaging as time-sensitive.

The objective is not to claim that Martini is universally better than Informatica. The objective is to show how a developer-centric application integration platform differs from a broad enterprise data-management and integration platform across development model, APIs, extensibility, deployment, DevOps, operations, AI, data management, and commercial consumption.

Sources

Disclosure and Disclaimer

This comparison has been prepared by Lonti, the developer of Martini. It is intended to provide general information to organisations evaluating integration and automation platforms and should not be regarded as an independent or impartial product review.

Information about Informatica is based primarily on publicly available information published by Informatica from Salesforce, including its product documentation, pricing pages, Cloud and Product Description Schedule, developer documentation, release material, and other official sources identified above. Information about Martini is based on Lonti's own product documentation and pricing.

This comparison focuses primarily on Informatica Intelligent Data Management Cloud and, for direct application-integration comparisons, Application Integration and API Center. Informatica also sells and operates many broader data-management capabilities that may materially affect an organisation's evaluation.

We aim to keep this comparison accurate and current, but products, features, pricing, IPU rates, usage limits, licensing terms, packaging, preview capabilities, and commercial arrangements may change without notice. Public documentation may also be incomplete or may not reflect individually negotiated enterprise agreements. Readers should verify important information directly with the relevant vendor before making purchasing, architectural, or commercial decisions.

Informatica uses Informatica Processing Units as a consumption currency across eligible IDMC services. Each service can use a different scalar and IPU rate. The current Application Integration calculations on this page use the Cloud and Product Description Schedule version 39.2 effective September 11, 2026. These calculations should not be applied automatically to older Informatica contracts or future rate cards.

Informatica does not publish one universal fixed retail dollar value for an IPU. Pricing scenarios therefore calculate IPU consumption where the published rate card allows it but do not estimate an Informatica subscription dollar amount. These calculations should not be interpreted as an Informatica quotation.

Pricing scenarios make explicit assumptions about how business transactions map to Informatica Application Integration API calls. Actual metering can differ according to runtime architecture, service usage, API Center usage, serverless execution, ingestion, Data Integration, B2B, AI, and other IDMC capabilities.

Feature comparisons describe capabilities identified in publicly available documentation at the date shown on this page. The absence of a documented capability should not necessarily be interpreted as confirmation that the capability is unavailable.

This content is provided for general informational purposes only. Lonti makes no representation or warranty that the information is complete, error-free, or suitable for any particular organisation or use case. To the extent permitted by applicable law, Lonti accepts no liability for decisions or losses arising from reliance on this comparison. Nothing in this disclaimer excludes or limits any rights or remedies that cannot lawfully be excluded or limited.

All third-party product names, company names, logos, and trademarks are the property of their respective owners. Unless expressly stated otherwise, Lonti is not affiliated with, endorsed by, sponsored by, or associated with Informatica or Salesforce.

Last reviewed: September 2026

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