Skip to content
Get Started

Get more from your Databricks Lakehouse with FME.

Your Databricks Lakehouse is your analytics and AI foundation, but it is only as powerful as the data flowing into it. FME connects your full enterprise to your Lakehouse, so all your workflows, including AI, run on complete data to drive real action.
Connect Your Enterprise to Databricks
Connect your full enterprise data stack to Databricks as clean, complete, and analytics-ready data, without custom pipelines or code.
Upcoming In-Person Session
Databricks Data + AI Summit: Building MCP-Ready Ecosystems with FME
Register Now
Save the date for a lightning talk by Don Murray, CEO of Safe Software:
Moscone Center, San Francisco (Theater 4)
Tuesday, June 16
4:30 – 4:50 pm PDT
All Data

Connect Databricks to All Your Data

Your Databricks Lakehouse becomes dramatically more capable when it has access to your full enterprise data estate.

FME connects, transforms, and loads all enterprise data into Databricks, including the complex spatial, unstructured, and legacy data most tools can’t handle.
MCP

Give Your Databricks AI Agents Access to Everything

Your Databricks AI agents don’t have to be limited to what’s inside your Lakehouse. FME’s MCP Server exposes your complete enterprise data as governed, AI-ready tools your agents can call directly, blending Lakehouse data with any other system without moving it or rebuilding pipelines. Databricks also gains native spatial capabilities through FME’s MCP tools.
Data Prep

Feed Your Lakehouse Clean, AI-Ready Data

Your Databricks workflows run on the data you give them. FME prepares, cleans, and validates all enterprise data before it enters your Lakehouse and handles advanced spatial processing your Lakehouse cannot perform on its own. Gain a complete, trusted analytics foundation.
Delta Lake

Connect Directly to Delta Lake

Query and pull data directly from your Delta Tables into FME workflows, bypassing unnecessary compute costs.
Webinar
Unlock the Full Power of Your Databricks Lakehouse with FME
Watch On Demand
In this webinar you will learn how to:
Bring any enterprise data source into your Databricks Lakehouse.
Unlock spatial analytics in Databricks with ArcGIS and FME.
Extend your Lakehouse with a Data Virtualization layer.
Deliver trusted, ready-to-use data into and out of your Databricks environment.

Everything you need to connect your enterprise to your Databricks Lakehouse.

Databricks Reader

Read attribute data from any Databricks table or Unity Catalog directly into FME workflows. Bring your Lakehouse data wherever you need it.

Databricks Writer

Deliver clean, transformed data directly into new or existing Delta Tables in your Databricks workspace. No custom code is required.

Delta Lake Reader

Connect directly to Delta Lake tables and read data for analysis or transformation with SQL-like querying capabilities.

MCP for Databricks AI

Turn your Databricks environment into a full enterprise AI ecosystem. FME’s MCP Server exposes enterprise workflows as governed AI tools, giving your Databricks AI agents secure, real-time access to any data source, including spatial data your Lakehouse cannot natively handle.

The MCPCaller Transformer supports both deterministic workflows and dynamic AI execution at run time.

Production-Grade Enterprise Orchestration

Run intelligent, production-grade pipelines that connect your full enterprise to Databricks. FME operates as a real-time orchestration layer alongside your Lakehouse, enabling automation, event and stream processing, ETL, Data Virtualization, and AI-powered decision making.

IoT & Streaming Connectors

Stream data from IoT sensors into your data lakehouse using the KafkaConnector, MQTTConnector, Websockets, and more.
Get Started With Databricks and FME
Safe product icons
Ready to see FME in action and discover how it can help you?
Get a Live Demo

Got Questions?

We have the answers.

Yes. FME connects to 500+ systems and formats, including complex spatial, unstructured, legacy, and IoT data. FME delivers everything into your Databricks Lakehouse as clean, analytics-ready data. No custom engineering required.

FME also supports additional lakehouse formats including Snowflake, Microsoft Fabric, and Delta Lake directly.

FME’s MCP Server turns any workflow into a governed AI tool. Your Databricks AI agents gain secure, direct access to your complete enterprise data, including spatial data Databricks cannot natively handle, without moving data or rebuilding pipelines.

Any AI agent can call FME-built MCP tools to query legacy systems, run transformations, and act on real-time data from your Lakehouse. 

Learn more about FME with MCP here.

No. With FME, your Lakehouse data is available to any AI model: OpenAI, Claude, Amazon Bedrock, Google Gemini, Ollama, or your own. FME exposes your enterprise workflows as governed MCP tools that any AI agent can use to query systems, execute transformations, and act on real-time data from your Lakehouse.

Additional Resources

FME and Databricks

Webinars

FME Support Center

FME Blog