Databricks Connector

Connector implementation

Build the Databricks integration

Unified data analytics platform combining data engineering, data science, and machine learning

API + MCPImplementation requiredData Warehouses
DatabricksAPI / MCP / docsTajo connectorauth, mapping, syncretries, logs, checksBrevo activationcontacts, events, campaignsbackfill, webhooks, validation
Databricks connector flow from source system to Tajo mapping and Brevo activation.

Implementation Overview

Build target

Implement a Databricks connector that authenticates to the vendor surface, normalizes source records in Tajo, and activates eligible data in Brevo.

Current status

Treat this as an implementation guide. Build and validate the auth, mapping, sync, and operations paths before production use.

Primary surface

docs.databricks.com/aws/en/reference/api

PropertyValue
Integration surfaceAPI + MCP
Implementation statusImplementation required
CategoryData Warehouses
Setup complexitymedium
Vendor documentationdocs.databricks.com/aws/en/reference/api
Allowed hostNot recorded
Base URLNot recorded
OpenAPI schemadocs.databricks.com/aws/en/reference/api
MCP serverNot recorded
Last researched2026-08-19

Databricks uses OpenAPI to generate official SDKs; the old /api/workspace/introduction URLs now 404 — the REST reference lives under /aws/en/reference/api. Databricks also ships managed (hosted) MCP servers, but their URLs are workspace-specific, so none is recorded here.

Authentication

  • Use docs.databricks.com/aws/en/reference/api to generate or validate typed API clients and request models.

  • Keep docs.databricks.com/aws/en/reference/api linked from the connector runbook so operators can confirm vendor behavior during incidents.

  • Store credentials per Tajo workspace and keep tenant-specific secrets out of connector configuration files.

  • Add a credential smoke test that verifies read access to a harmless resource before running backfills or enabling webhooks.

Data To Sync

Start with these inferred data domains, then confirm exact vendor resources and permissions from the source documentation:

  • Events, webhooks, and behavioral activity
  • Custom objects and operational metadata

The connector should make source records idempotent by keeping a stable key such as a vendor object ID, email address, event ID, ticket ID, order ID, or campaign ID. If the vendor only exposes list APIs, Tajo should store the cursor strategy and replay policy explicitly.

Sync Shape

No typed contract exists for Databricks, so the direction of each resource and its conflict handling are not recorded. Direction is declared per resource on a connector contract; see the connector catalog for how contracts are promoted.

Mapping To Tajo/Brevo

No Brevo projection is recorded for Databricks. A projection is declared on a typed connector contract, and Databricks does not have one yet, so this page will not state a mapping it cannot source.

The conventions that apply to every connector — stable external IDs, normalization, backfill and sync strategy, error handling, and the builder checklist — are documented once under “Applies to every connector” on the connector catalog.

Sources

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