Databricks Connector

Databricks is a unified data analytics platform that provides a collaborative environment for data scientists, engineers, and business analysts. It is built on top of Apache Spark and provides a fully managed, scalable, and secure cloud-based platform for big data analytics.

Start for free View documentation

4.8 on G2

Weld · Data Sources

DatabricksYour warehouseLive

Pick the tables to sync, and they appear here with their status.

Lands in

Queryable over MCP

How it works

Set up in minutes.
No code, no maintenance.

Databricks

Destination

Host

account.databricks.com

Database

analytics_db

Destination

Databricks as your warehouse.
Where your agents query.

Use Databricks as your central data warehouse with Weld. Connect any of 300+ sources and land clean, structured data in Databricks, ready for SQL, dbt models, BI tools, and agents over the Weld MCP server.

Resources

Everything you need.
To get started.

Documentation

Databricks setup guide

Step-by-step instructions to configure and start syncing.

MCP server

Connect your agents

Set up Claude, Cursor, ChatGPT or Codex against your Weld workspace.

Weld Connect API

Build custom connectors

Use the Weld Connect API to build and publish your own connector.

FAQ

Common questions

Answers to frequently asked questions about Weld connectors.

Weld Connect API

Set it up in code.
One REST API.

Use the Weld Connect REST API to create Databricks connections, configure ELT syncs, and manage pipelines entirely through code. Built for embedding, automation, and CI/CD workflows.

Explore Weld Connect API reference

POST/elt_syncs

# Create a Databricks ELT sync
curl -X POST https://connect.weld.app/elt_syncs \
  -H "x-api-key: $API_KEY" \
  -d '{
    "connection_id": "conn_abc123",
    "integration_id": "databricks",
    "destination_schema_name": "databricks_data",
    "sync_interval": "0 * * * *"
  }'
▌