Martini vs Celigo

Martini vs Celigo at a Glance

Celigo and Martini overlap substantially in application integration, visual workflow development, APIs, transformation, reusable integration logic, monitoring, lifecycle management, and AI-enabled orchestration.

The largest differences are Celigo's cloud-first platform architecture, packaged connector breadth, flow-and-endpoint pricing model, and platform-managed lifecycle controls versus Martini's direct Java extensibility, Git-native project model, native GraphQL API implementation, and full runtime deployment flexibility.

Integration and Workflow Development

Celigo flows can range from simple two-application synchronization to multi-step processes with branching, transformations, lookups, hooks, filters, real-time listeners, and AI-agent steps.

Martini workflows similarly provide visual orchestration but operate alongside reusable services, functions, API handlers, database services, event consumers, Java classes, and other package assets.

APIs and Connectivity

Celigo API Builder provides a visual low-code canvas for creating custom HTTP APIs. Developers can define request and response schemas, add lookups and imports, branch logic, apply transformations and mappings, test APIs, and download generated OpenAPI specifications.

Celigo API Management adds an API gateway, policies, plans, subscriptions, analytics, logging, notifications, and a developer portal. Celigo states that API Management can manage RESTful, SOAP, GraphQL, and WebSocket APIs.

Celigo also has strong GraphQL consumption capabilities through both universal and application-specific GraphQL connectors. However, current API Builder documentation describes HTTP API request and response construction rather than native GraphQL schema, resolver, mutation, and subscription implementation.

Martini treats REST and GraphQL as native API-development models, allowing GraphQL schemas, queries, mutations, resolvers, and subscriptions to be implemented directly alongside workflows and services.

Extensibility and Custom Development

Celigo provides significant extensibility through JavaScript hooks, JavaScript transformation and filter rules, JavaScript APIs, custom forms, Integration App Framework extensions, universal connectors, and externally hosted Stack hooks.

JavaScript hooks can modify records at several stages of flow execution, while externally hosted Stack hooks provide an escape route when logic needs to run outside Celigo's managed JavaScript runtime.

Martini exposes a broader conventional application-development runtime directly inside the integration platform. Developers can add Java classes, arbitrary JAR files, Spring libraries, Groovy services, reusable functions, and custom code as part of the same project.

Development Lifecycle

Celigo's Integration Lifecycle Management provides git-style features inside integrator.io. Teams can clone integrations, create snapshots, compare differences, pull tested changes from one related integration into another, and revert to earlier revisions.

Celigo's documentation explicitly describes integrator.io as the source of truth. Integrations can nevertheless be downloaded, extracted, committed to GitHub, GitLab, or another external version-control system, reviewed through feature branches, and subsequently re-imported or managed through platform APIs.

The newer multi-environment architecture provides isolated development, QA, staging, and production resources rather than the shared-resource behaviour of Celigo's older Production/Sandbox model.

Martini uses a more conventional repository-first approach in which Martini package assets are directly managed through Git and participate naturally in existing pull-request and CI/CD workflows.

Deployment and Infrastructure

Celigo is fundamentally a SaaS iPaaS. Its on-premise agent is installed on Windows or Linux inside a customer's private network and creates a secure outbound tunnel to integrator.io.

The agent can provide access to private SQL databases, MongoDB, DynamoDB, and HTTP services, including local OAuth token exchange for private HTTP applications. A single agent can communicate with multiple applications on the same network.

Current Celigo documentation describes the agent as a private-connectivity mechanism rather than a self-hosted integrator.io orchestration runtime.

Martini Customer Cloud instead deploys the complete Martini Runtime into the customer's own cloud or on-premises infrastructure.

Monitoring and Operations

Celigo has particularly strong operational error-management tooling. The Errors workspace allows users to inspect failures, edit retry data, assign errors to team members, apply tags, use trace keys, and retry individual records or groups of errors.

Celigo Ora can also analyse errors and propose corrections to retry data, subject to user review and approval.

Celigo's current editions provide increasing log retention from 30 days on Standard to 60 days on Professional and 180 days on Enterprise.

Martini Tracker uses a persistent transaction-oriented model that can store requests, responses, payloads, metadata, execution details, and errors and allows selected transactions to be searched and resubmitted.

AI-Assisted Development and Agents

Celigo's AI capabilities have expanded substantially in 2026. Agent Builder creates low-code agents attached to LLMs and tools, and those agents can execute inside normal flows.

Celigo Tools provide reusable integration logic with defined input and output schemas that can be used by agents, MCP servers, and other tools.

Celigo MCP servers can expose approved APIs and integration capabilities to external agents with authentication, access control, monitoring, and auditability.

Celigo Platform MCP provides a separate hosted interface through which AI development clients can manage integrator.io resources, while Celigo CLI provides terminal-based automation over the same platform resources.

Celigo Ora adds an account-aware natural-language interface that can create and modify resources, troubleshoot flows, analyse account health, and build agents subject to role permissions and explicit approval of changes.

Martini vs Celigo Pricing

Martini and Celigo use substantially different commercial models, but both avoid charging for every internal workflow step.

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

Celigo explicitly states that it does not price the core platform according to tasks, transactions, or data volume. Its current platform pricing is based primarily on the number of distinct flows run and endpoints invoked.

Martini pricing

Essentials includes 100,000 Martini transactions per month. Elastic and Customer Cloud include unlimited Martini transactions.

Celigo pricing

Celigo states that additional endpoints or flows can be added as requirements grow and that exceeding a flow entitlement produces notifications rather than transaction-style overage charges. Exact commercial pricing for editions and additional entitlements is not publicly listed.

Celigo API Management

API Management is a separate subscription available with Professional and Enterprise. API Builder itself is included in Professional and Enterprise.

Martini Transactions vs Celigo Flows and Endpoints

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 the workflow or service execution.

How Celigo counts flows

Celigo counts distinct integration flows or flow instances that are actually run during a month.

If the same flow runs more than once during that month, subsequent executions do not increase its flow-entitlement count.

How Celigo counts endpoints

Endpoints represent the distinct applications, database hosts, or universal connector destinations used by running flows.

Multiple connections to the same application generally count as one endpoint. For example, Celigo documents that three Shopify store connections count as one Shopify endpoint.

For universal HTTP, REST API, and GraphQL connections, multiple connections with the same Base URI count as one endpoint.

Do Martini and Celigo Offer Unlimited Usage?

Martini

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

Unlimited transactions means the subscription is not capped or priced according to transaction count. Runtime compute capacity remains finite.

Celigo

Celigo does not meter normal integration execution by task or transaction volume. Its pricing page explicitly states that pricing is based on flows and endpoints and not on tasks, transaction volume, or data volume.

This means a licensed Celigo flow can run repeatedly without each execution becoming another billable flow entitlement.

However, Celigo is not unlimited in every commercial dimension. Standard and Professional currently include 20 flows and 3 endpoints as their base entitlements. Enterprise includes 20 flows and unlimited endpoints. Additional flows and endpoints can be purchased or the plan can be changed.

Celigo's pricing page describes Enterprise as allowing organisations to automate without transaction-volume limits, but the number of distinct flow entitlements remains commercially relevant.

Which Platform Fits Your Use Case?

The Bottom Line

Martini and Celigo overlap substantially as enterprise integration platforms, but their architectures and commercial models reflect different priorities.

Celigo's centre of gravity is cloud iPaaS and process-centric business integration. Its strongest characteristics include hundreds of packaged connectors, predictable non-transaction pricing, mature error management, Integration Lifecycle Management, API Management, B2B capabilities, AI agents, MCP, and a growing developer automation surface through APIs, CLI, and Platform MCP.

Martini's centre of gravity is developer-first low-code backend and integration development. It combines APIs, workflows, databases, events, Java extensibility, Git, CI/CD, and deployable runtimes while allowing developers to use conventional software-engineering components when platform abstractions are insufficient.

The pricing comparison is particularly interesting because Celigo avoids transaction-volume charging altogether. Celigo prices according to the number of distinct flows and endpoints, while Martini prices execution volume on Essentials and removes that metering on Elastic and Customer Cloud.

Is our integration estate better characterised by a manageable number of high-volume application flows, or by a developer-oriented collection of APIs, services, events, and workflows that we want to manage like conventional software?

Evaluate Martini and Celigo with the Same Project

Because both platforms are capable enterprise iPaaS products, a useful proof of concept should test development model, connectivity, operations, lifecycle, and commercial behaviour rather than simply connecting two SaaS applications.

1. Use a packaged connector for a major enterprise application.
2. Consume an external REST API through a universal HTTP client.
3. Consume a GraphQL API.
4. Build and publish a custom REST API.
5. Implement a GraphQL API server requirement.
6. Connect to a relational database.
7. Transform a complex nested payload.
8. Implement branching and lookup logic.
9. Add custom JavaScript logic.
10. Reuse an existing Java or Spring library, or implement the closest Celigo equivalent.
11. Build a real-time event or webhook integration.
12. Create reusable integration logic.
13. Develop and test changes in a non-production environment.
14. Compare the version-control and review workflow.
15. Promote the integration into production.
16. Connect to a database or API available only inside a private network.
17. Intentionally cause several record-level failures.
18. Inspect, edit, assign, and retry failed records.
19. Expose an integration capability as an MCP tool.
20. Increase transaction volume by 100 times without changing the number of flows.
21. Increase the number of distinct integration flows without increasing business transaction volume.
22. Increase the number of connected application types without increasing flow count.

Compare development effort, connector coverage, code extensibility, API development, source-control model, lifecycle management, deployment architecture, operational recovery, AI capabilities, entitlement consumption, and expected production cost.

Worked pricing scenarios

Frequently asked questions

Methodology

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

• Identify the date on which the comparison was last reviewed.
• Use current Celigo product and technical documentation for material Celigo claims.
• Use current Lonti product documentation and pricing for Martini claims.
• Reflect Celigo's current 2024 Platform license rather than relying on its legacy endpoint pricing model.
• Do not characterise Celigo as transaction-priced or task-priced; Celigo explicitly states that its core platform pricing is based on flows and endpoints.
• Distinguish distinct flow entitlement from flow execution frequency.
• Apply Celigo's documented endpoint-counting rules rather than assuming every connection or application instance consumes another endpoint.
• Do not invent Celigo dollar pricing because Standard, Professional, Enterprise, add-on flow, and add-on endpoint prices are not currently published.
• Distinguish API Builder from the separately licensed API Management product.
• Distinguish GraphQL consumption and API-management support from native GraphQL API server development.
• Distinguish the on-premise agent from deployment of a full self-hosted integrator.io runtime.
• Represent Celigo's current Integration Lifecycle Management and external version-control capabilities rather than describing the platform as lacking source control.
• Acknowledge material Celigo strengths including high-volume pricing predictability, packaged connectors, error management, ILM, API Management, B2B capabilities, AI agents, MCP, and Celigo Ora.
• Treat pricing, flow entitlements, endpoint entitlements, API-call allowances, AI capabilities, and edition packaging as time-sensitive.

The objective is not to claim that Martini is universally better than Celigo. The objective is to show how two capable enterprise integration platforms differ in development model, connectivity, API architecture, extensibility, source control, deployment, operations, AI capabilities, and commercial licensing.

Sources

• https://www.lonti.com/pricing
• https://www.lonti.com/martini
• https://www.lonti.com/martini/features
• https://www.lonti.com/martini-features/developer-extensibility
• https://www.lonti.com/martini-features/git-ci-cd
• https://www.lonti.com/martini-features/graphql-api-development
• https://www.lonti.com/martini-features/consume-apis
• https://www.lonti.com/martini-features/monitoring-tracker
• https://www.celigo.com/platform/pricing/
• https://docs.celigo.com/hc/en-us/articles/43232045459611-Celigo-platform-editions
• https://docs.celigo.com/hc/en-us/articles/30722413400859-Track-your-flow-usage
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