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Alation Integration Guide
Integrate Alation catalog metadata with enterprise platforms through authenticated REST APIs, scheduled workflows, controlled updates, and Martini API façades.
Alation integration options at a glance
Alation’s primary integration mechanism is its authenticated REST API, which provides programmatic access to catalog and administrative capabilities such as data sources, schemas, tables, columns, articles, users, tags, and domains. Endpoint availability and writable operations depend on the Alation release, deployment, API version, and permissions. Broad webhook coverage and a generally available GraphQL or SOAP API were not confirmed, so scheduled polling and reconciliation are important patterns. Martini can securely call Alation APIs, paginate through large catalogs, checkpoint incremental synchronization, transform metadata, apply business rules, and expose controlled APIs for internal applications. Endpoint-specific bulk, file, analytics, and database capabilities should be confirmed before use.
| Integration point | Supported by Alation? | Common use cases | How Martini supports it |
|---|---|---|---|
| REST APIs | Yes | Read data sources, schemas, tables, columns, articles, users, tags, and other catalog or administrative information; create or update supported objects where endpoint permissions allow. | Martini can consume Alation REST endpoints from workflows, transform responses, apply validation and business rules, and expose separate REST APIs for downstream consumers. |
| Authentication | Yes | Authenticated requests commonly use Alation API tokens, with access constrained by user, group, role, and catalog permissions. | Martini can store tokens and instance-specific configuration in secured environment settings and reference them from workflow requests without embedding credentials. |
| Webhooks / outbound callbacks | Limited | Broad push notification coverage for catalog changes was not confirmed; deployments may not notify external systems for every object change. | Martini can receive confirmed notifications where available, but can also use scheduled polling, timestamp comparison, identifiers, or content hashes when push events are unavailable. |
| Bulk / asynchronous / batch APIs | Limited | Some catalog or administrative operations may provide endpoint-specific bulk behavior, but universal bulk or asynchronous coverage was not confirmed. | Martini can implement controlled batching, pagination, checkpointing, rate-aware scheduling, and per-object error handling around documented endpoint behavior. |
| File / attachment APIs | Limited | Articles and catalog content may contain documentation or related files, but a universal attachment API was not confirmed for all content types. | Martini can process documented file endpoints when available, while routing unsupported or deployment-specific content handling through an exception path. |
| Database / analytics access | Limited | Analytics and reporting access varies by Alation edition and deployment; direct database access is not a general replacement for the REST API. | Martini can connect to confirmed databases or reporting interfaces using supported database capabilities, but the Alation REST API remains the default integration boundary. |
| GraphQL APIs | Not confirmed | A generally available documented Alation GraphQL API was not confirmed in the reviewed sources. | Martini should use Alation REST APIs unless the target deployment provides a separately documented GraphQL endpoint. |
| SOAP APIs | Not confirmed | No current Alation SOAP API was confirmed. | Martini should not design an Alation SOAP integration without deployment-specific documentation confirming such an interface. |
How Alation exposes data and business events
Alation REST APIs
Alation provides documented REST APIs for catalog and administrative operations. Depending on API version, deployment, and permissions, integrations can retrieve or update data sources, schemas, tables, columns, articles, users, tags, and related metadata.
Martini implementation pattern
Martini uses a workflow to authenticate against the target Alation instance, call the required REST endpoints, follow pagination, normalize responses, and route data to another system or controlled API. The workflow can apply parent-child ordering, validation, incremental checkpoints, and retry policies.
Implementation sequence
Scheduled Alation synchronization
Because broad outbound webhook coverage for Alation catalog changes was not confirmed, scheduled polling is a practical integration method for detecting changes through REST APIs.
Martini implementation pattern
Martini schedules a workflow that retrieves changed or relevant objects where filters or timestamps are available, or compares normalized identifiers and content hashes when they are not. Checkpoints, controlled concurrency, and reconciliation logic reduce repeated full-catalog extraction.
Implementation sequence
Alation webhook-style notifications
Alation webhook or callback coverage is deployment- and event-dependent, and broad notifications for all catalog changes were not confirmed. Any available notification should therefore be treated as a selected-event mechanism rather than universal coverage.
Martini implementation pattern
Where the target deployment exposes a documented callback, Martini can receive the notification, validate its source and payload, retrieve the current Alation object through REST, and process the authoritative representation. If no suitable callback exists, the same workflow can be initiated by a scheduler.
Implementation sequence
Endpoint-specific bulk processing
Alation may provide bulk or administrative behavior for selected operations, but universal bulk or asynchronous coverage was not confirmed. Each endpoint must be evaluated against the target release and permissions.
Martini implementation pattern
Martini can wrap documented batch-capable endpoints in a workflow that divides work into bounded units, records request and object identifiers, and retries only transient failures. Where no bulk endpoint exists, the workflow falls back to paginated individual requests with rate-aware control.
Implementation sequence
Common Alation integration patterns
Pattern 1: Synchronize Alation catalog metadata to a governance platform
When to use this pattern
Use this pattern when a governance, reporting, or enterprise catalog platform needs current Alation data sources, schemas, tables, columns, tags, and stewardship metadata. It is suitable for scheduled extraction when broad Alation event coverage is unavailable.
Integration direction
Example Mapping
| Alation Field | Canonical Field | Target Field |
|---|---|---|
| data_source.name | sourceName | registeredSourceName |
| schema.name | schemaName | namespaceName |
| table.name | assetName | dataAssetName |
| column.name | attributeName | fieldName |
Martini implementation pattern
A scheduled Martini workflow retrieves parent objects first, follows pagination, maps Alation metadata into a canonical governance model, and uses stable identifiers or hashes to avoid duplicate writes. It records checkpoints, separates permission and validation failures from transient errors, and handles missing or archived objects through reconciliation rules.
Martini capabilities used
- workflows
- scheduled triggers
- API consumption
- pagination and checkpointing
- data mapping
- business rules
- error handling
Pattern 2: Reconcile Alation users and ownership with an identity system
When to use this pattern
Use this pattern when Alation ownership and stewardship assignments must be compared with an authoritative identity or HR source. It can identify inactive users, changed departments, and missing owners before applying controlled Alation updates.
Integration direction
Example Mapping
| Alation Field | Canonical Field | Target Field |
|---|---|---|
| user.email | userEmail | |
| user.display_name | displayName | fullName |
| department | departmentCode | department |
| user.active | isActive | accountStatus |
Martini implementation pattern
Martini loads the authoritative identity data and Alation users, matches them using stable identifiers, applies rules for inactive accounts and ownership changes, and writes only permitted updates to Alation. Ambiguous matches are routed for review, while transient API failures are retried without repeating successful updates.
Martini capabilities used
- scheduled workflows
- API consumption
- data matching
- validation
- business rules
- controlled REST updates
- retry handling
Pattern 3: Onboard data platforms into Alation
When to use this pattern
Use this pattern when a new Snowflake, Databricks, or other data platform is provisioned and its metadata must be registered in Alation. It is appropriate for event- or schedule-driven onboarding where source metadata can be transformed into Alation structures.
Integration direction
Example Mapping
| Alation Field | Canonical Field | Target Field |
|---|---|---|
| platform.name | sourceName | dataSource.name |
| namespace.name | schemaName | schema.name |
| asset.name | tableName | table.name |
| field.name | columnName | column.name |
Martini implementation pattern
A Martini workflow receives a provisioning trigger or runs on a schedule, extracts platform metadata, validates required fields, and creates or updates Alation data sources before dependent schemas, tables, and columns. Deterministic keys make retries idempotent, and failures are retained for targeted replay.
Martini capabilities used
- workflow triggers
- API consumption
- metadata transformation
- dependency ordering
- idempotency rules
- validation
- error handling
Pattern 4: Expose an approved Alation metadata API façade
When to use this pattern
Use this pattern when internal applications need catalog search or metadata without direct access to Alation credentials or the full Alation response model. Martini can centralize authorization, filtering, auditing, and error behavior.
Integration direction
Example Mapping
| Alation Field | Canonical Field | Target Field |
|---|---|---|
| query | searchText | Alation search parameter |
| object_type | assetType | Alation object filter |
| fields | approvedFields | response projection |
| object_id | catalogObjectId | Alation identifier |
Martini implementation pattern
Martini exposes a controlled REST API, validates the caller and request, invokes the appropriate Alation REST endpoint, filters the response to approved fields, and returns a stable internal contract. Centralized logging, rate control, authorization, and mapped error responses protect Alation from uncontrolled client access.
Martini capabilities used
- API exposure
- API consumption
- authentication and authorization
- response transformation
- business rules
- audit logging
- error handling
Applications commonly integrated with Alation
Alation commonly participates in enterprise data catalog, governance, analytics, and metadata-management architectures. The following applications represent practical integration targets or sources; exact packaged coverage and endpoint availability should be confirmed for the customer’s Alation deployment.
| Application | Scenario | Direction | Martini Pattern |
|---|---|---|---|
| Snowflake | Synchronize warehouse databases, schemas, tables, columns, ownership, and governance metadata with Alation. | Snowflake → Martini → Alation | Martini retrieves or receives Snowflake metadata, normalizes it into Alation data-source, schema, table, and column structures, processes parent objects before children, and applies controlled REST updates with checkpoints and retry handling. |
| Databricks | Catalog lakehouse assets and align data ownership, documentation, and governance information with Alation. | Databricks → Martini → Alation | A scheduled or event-initiated Martini workflow extracts Databricks metadata, maps platform-specific fields to Alation objects, validates required identifiers, and records failed objects for replay. |
| Salesforce | Catalog Salesforce objects and fields so customer data used in reporting and analytics can be discovered and governed. | Salesforce → Martini → Alation | Martini consumes Salesforce metadata and Alation REST endpoints, transforms object and field definitions into catalog structures, and uses configurable mappings so deployment-specific custom fields do not break synchronization. |
| Tableau | Associate workbooks, reports, and lineage-related metadata with cataloged source assets for analytics governance. | Tableau → Martini → Alation | Martini retrieves Tableau metadata where available, resolves source identifiers against Alation data sources and tables, and routes unmatched or ambiguous lineage relationships to an exception workflow. |
| Power BI | Associate reports and semantic models with cataloged data assets and support impact-analysis workflows. | Power BI → Martini → Alation | A Martini workflow extracts Power BI metadata, maps reports and semantic-model references to Alation objects, validates ownership and identifiers, and performs incremental updates with audit logging. |
| ServiceNow | Synchronize governance tasks, ownership information, incidents, or request workflows with Alation catalog metadata. | Alation → Martini → ServiceNow | Martini reads Alation metadata, applies routing rules to determine the appropriate ServiceNow task or request, maps status and ownership fields, and optionally writes controlled status updates back to Alation. |
| Jira | Create remediation, stewardship, or data-quality work items from Alation metadata or governance findings. | Alation → Martini → Jira | Martini identifies qualifying Alation objects, creates or updates Jira work items using deterministic keys, stores cross-system identifiers, and reconciles issue status on later runs. |
| Collibra | Exchange catalog and governance metadata during coexistence, migration, or catalog-consolidation initiatives. | Alation → Martini → Collibra | Martini extracts Alation objects, maps them to the target governance model, applies duplicate and conflict rules, and stages changes for controlled bidirectional reconciliation. |
How to build a Alation integration in Martini
Objective
Establish the Alation API connection for the target instance and environment without embedding credentials in workflow definitions.
Instructions in Martini
- Confirm the Alation base URL, API version, endpoint availability, and service-account permissions
- Store the Alation API token and environment values in Martini secure configuration
- Configure HTTPS requests with the required Alation authentication header
- Use separate credentials and permissions for development, testing, and production
Objective
Select a trigger that reflects Alation’s available integration behavior and the required synchronization latency.
Instructions in Martini
- Use a scheduled workflow when broad Alation event coverage is unavailable
- Use a confirmed callback or external event only for documented deployment-specific notifications
- Use an API-triggered workflow for request-driven catalog operations
- Set synchronization windows and concurrency appropriate to catalog size
Objective
Read the required Alation objects reliably and completely, including dependent objects and multiple result pages.
Instructions in Martini
- Call the documented Alation REST endpoints
- Follow pagination until the endpoint indicates that no pages remain
- Process data sources and schemas before tables and columns
- Load checkpoints or prior hashes for incremental comparisons
Objective
Coordinate extraction, comparison, transformation, target writes, and exception handling as a maintainable Martini workflow.
Instructions in Martini
- Separate retrieval, mapping, validation, target writes, and reconciliation into clear workflow stages
- Retain Alation identifiers and cross-system identifiers
- Apply controlled concurrency and rate-aware delays
- Route permission, validation, not-found, throttling, and transient failures separately
Objective
Convert Alation’s deployment-specific metadata model into a stable canonical or target representation.
Instructions in Martini
- Map data sources, schemas, tables, columns, articles, users, tags, and domains explicitly
- Normalize names, ownership, timestamps, tags, and custom fields where required
- Validate required parent identifiers before processing child objects
- Keep mappings configurable for release and deployment differences
Objective
Ensure that synchronization respects permissions, ownership policies, duplicate prevention, and deletion or archival decisions.
Instructions in Martini
- Use stable identifiers or deterministic keys for idempotent writes
- Apply rules for inactive users, stewardship assignments, and approved object types
- Define how hidden, archived, deleted, and missing objects are reconciled
- Route ambiguous matches and unsupported content to review rather than guessing
Common Alation data objects used in integrations
| Object | Typical Use | Common target systems | Martini handling |
|---|---|---|---|
| Data sources | Represent registered databases, applications, or other cataloged origins. | Snowflake, Databricks, reporting platforms, governance systems | Martini synchronizes stable source identifiers and descriptive metadata before processing dependent schemas, tables, and columns. |
| Schemas | Organize logical structures within a registered data source. | Data warehouses, lakehouses, governance platforms | Martini maps schemas to target namespaces, retains parent data-source identifiers, and checkpoints completed objects. |
| Tables | Catalog structured data assets and their ownership, documentation, and governance metadata. | Data governance platforms, analytics catalogs, reporting systems | Martini processes tables after their parent schemas, applies field mappings and idempotent upsert rules, and handles permission or validation failures separately. |
| Columns | Describe fields or attributes belonging to cataloged tables. | Governance platforms, lineage stores, analytics systems | Martini retrieves columns with controlled request volume, links them to table identifiers, normalizes metadata, and supports incremental comparison. |
| Articles | Store user-maintained documentation, descriptions, policies, and other catalog content. | Knowledge platforms, governance systems, service-management tools | Martini synchronizes supported article fields and content through documented endpoints, while treating files and attachments as deployment-specific. |
| Users | Identify catalog owners, curators, reviewers, and consumers. | Identity systems, HR platforms, ServiceNow, governance platforms | Martini reconciles users and ownership-related metadata, applies inactive-user and stewardship rules, and performs controlled updates where permitted. |
Authentication and security considerations
API-token authentication
Alation API requests commonly use an API token in an HTTP header. The exact header format, token lifecycle, and endpoint permissions depend on the Alation API and deployment.
Least-privilege access
Use a dedicated service account or integration identity with only the permissions required for selected catalog objects and operations. Alation visibility can be constrained by user, group, and role permissions.
Secure Martini configuration
- Store Alation tokens and instance-specific base URLs in Martini secrets or secure environment configuration.
- Use HTTPS/TLS and separate credentials for development, testing, and production.
- Do not embed tokens in mappings, workflow definitions, logs, or API responses.
Operational considerations for Alation integrations
Pagination and volume
Catalog inventories can contain large numbers of tables and columns. Follow endpoint pagination, limit concurrency, and use scheduled windows with rate-aware delays.
Incremental synchronization
Prefer documented timestamps, identifiers, version fields, or change markers. Where these are unavailable, maintain Martini checkpoints or compare normalized content hashes.
Dependencies and idempotency
Process data sources and schemas before tables and columns. Use stable Alation identifiers or deterministic keys so retries do not create duplicate objects.
Failures and schema changes
- Handle authentication, permission, validation, not-found, throttling, and transient server failures separately.
- Keep mappings configurable because API fields, custom metadata, tags, and response structures can vary by release and deployment.
- Define reconciliation behavior for deleted, hidden, archived, or inaccessible objects.
- Test article and attachment handling separately because a universal file API was not confirmed.
Why use Martini instead of scripts or point-to-point integrations?
Orchestrate more than individual API calls
Scripts can call Alation endpoints, but Martini provides a maintainable workflow boundary for authentication, pagination, dependency ordering, transformation, business rules, target writes, and reconciliation.
Reuse controlled integration logic
Martini can expose an API façade for internal applications and reuse common mappings, validation, error handling, and secure environment configuration across synchronization processes.
Operate reliably
Scheduled workflows, checkpoints, retry handling, structured logs, and clear exception paths make large catalog synchronizations easier to monitor and replay than isolated point-to-point scripts.
Frequently asked questions
Alation can be integrated primarily through its authenticated REST APIs for catalog and administrative operations. Enterprise workflows can retrieve or update supported data sources, schemas, tables, columns, articles, users, tags, and related metadata. Because broad webhook coverage was not confirmed, scheduled polling, pagination, checkpoints, and reconciliation are important for synchronization.
Yes. Martini can integrate with Alation by consuming its documented REST APIs, securely storing Alation API tokens, orchestrating scheduled or request-driven workflows, transforming catalog metadata, and exposing controlled APIs for downstream applications. No native Martini Alation connector is documented in the supplied materials.
No. A dedicated Alation connector is not required. Martini can use Alation’s confirmed native REST APIs and API-token authentication, together with scheduled workflows or deployment-specific callbacks where available.
Lonti does not charge an additional per-connector or per-vendor fee to integrate Alation. The integration is subject to the provisioned capacity of the Martini environment. Separate costs may apply from Alation, cloud infrastructure, or other third-party systems depending on subscription, usage, and deployment model.
REST APIs should be treated as the primary integration method. Webhook-style notifications are only a limited or deployment-specific possibility, while a generally available Alation GraphQL or SOAP API was not confirmed. Endpoint-specific bulk, file, analytics, and database capabilities should be verified before being used as core integration boundaries.
Broad webhook coverage for all Alation catalog changes was not confirmed. A Martini design should not assume that every table, column, article, tag, or ownership change produces an outbound notification. Scheduled REST polling and reconciliation can detect changes when suitable callbacks are unavailable.
Martini can use paginated REST requests, checkpoints, incremental filters or timestamps where available, normalized content hashes, controlled concurrency, and retry handling. Parent objects such as data sources and schemas should generally be processed before dependent tables and columns, with permissions and partial visibility considered during reconciliation.
Yes. Martini can expose a controlled REST API that accepts internal metadata or search requests, authenticates callers, invokes Alation REST APIs, filters and transforms responses, and returns an approved internal contract. This can centralize authorization, audit logging, rate control, and mapped error handling.
Related Martini documentation
Workflows
Data processing
Integrate Alation with Martini
Use Martini to build secure, maintainable Alation integrations for catalog synchronization, governance workflows, metadata onboarding, and controlled API access.