Open-source alternatives to Databricks

Databricks is a cloud data and AI platform combining data lake and warehouse capabilities, billed by Databricks Units (DBUs) that scale with compute and data processed — costs commonly run from a few hundred dollars a month for small teams to tens of thousands for enterprise ML workloads. Teams that want predictable, self-hosted costs instead of consumption-based DBU billing look at more focused open-source tools for specific parts of that workflow.

Databricks bundles many capabilities into one platform, so the right open-source alternative depends on which piece you actually need. For collaborative data notebooks with SQL and reactive execution, Deepnote is the closer comparison. For versioning and querying large multimodal datasets, Activeloop focuses specifically on that problem instead of Databricks' full-platform scope.

FAQ

Is there a free, open-source alternative to Databricks?

For specific pieces of the workflow, yes. Deepnote and Activeloop are both open source and free to self-host, though neither replaces the full Databricks platform.

What's the best open-source alternative to Databricks?

It depends on the use case: Deepnote is the better pick for collaborative notebooks and SQL workflows, while Activeloop is built for versioning and querying large multimodal datasets.

What are the top open-source alternatives to Databricks?

Browse all open-source alternatives to Databricks above, or explore the full Developer Tools category for more options.