databricks-feature-store
Databricks Feature Store Client
Decision gist · record as of 2026-08-14
No. This package is explicitly deprecated as of v0.17.0 and dormant (948 days since last release). Install databricks-feature-engineering instead, which provides the same functionality and maintains backward compatibility with existing imports. The proprietary license also restricts use to Databricks Platform Services under a separate agreement.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires active Databricks Platform Services agreement and connection to a Databricks workspace; proprietary license restricts use.
- Low install friction, but the package is dormant (948 days since last release) and explicitly deprecated in favor of databricks-feature-engineering.
- New projects should use the replacement package instead.
License · maintenance · safety
Databricks Proprietary License (unclear) — Licensed under Databricks Proprietary License (unclear treatment), which restricts use to connection with Databricks Platform Services under a separate agreement. Use is prohibited without an active agreement with Databricks.
last release 2024-01-09 (948 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 576,691 downloads/mo, #5,927 on PyPI
Alternatives
Verify before relying
# This package is deprecated; use databricks-feature-engineering instead.
# pip install databricks-feature-engineering
# from databricks.feature_store import FeatureStoreClient
# client = FeatureStoreClient()- Whether existing code using databricks-feature-store will continue to work without modification after switching to databricks-feature-engineering
- Whether the proprietary license permits use in open-source or non-commercial projects
- Specific Python version compatibility beyond the stated >=3.7 requirement
What it is and what it does
databricks-feature-store is a deprecated client library for interacting with Databricks Feature Store. As of v0.17.0, the package is no longer maintained and has been superseded by databricks-feature-engineering, which provides the same functionality under a new package name. The library depends solely on databricks-feature-engineering at runtime, making it effectively a compatibility shim.
The package is licensed under a proprietary Databricks license that restricts use to connection with Databricks Platform Services under a separate agreement. It requires Python >=3.7 and has low install friction, but should not be used for new projects—existing code can migrate by installing databricks-feature-engineering, which maintains backward compatibility with the original import paths.
Use it for
- Migrating legacy code from databricks-feature-store to databricks-feature-engineering without changing imports
- Accessing Databricks Feature Store within an existing Databricks workspace deployment
- Managing ML feature definitions and lineage on the Databricks platform
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
This package is explicitly deprecated as of v0.17.0 and dormant (948 days since last release). Install databricks-feature-engineering instead, which provides the same functionality and maintains backward compatibility with existing imports. The proprietary license also restricts use to Databricks Platform Services under a separate agreement.
Install
databricks-feature-store on PyPI
Before you install
Low install friction, but the package is dormant (948 days since last release) and explicitly deprecated in favor of databricks-feature-engineering. New projects should use the replacement package instead.
Requires active Databricks Platform Services agreement and connection to a Databricks workspace; proprietary license restricts use.
License in practice
Licensed under Databricks Proprietary License (unclear treatment), which restricts use to connection with Databricks Platform Services under a separate agreement. Use is prohibited without an active agreement with Databricks.
Quickstart
# This package is deprecated; use databricks-feature-engineering instead.
# pip install databricks-feature-engineering
# from databricks.feature_store import FeatureStoreClient
# client = FeatureStoreClient()Verify before relying
- Whether existing code using databricks-feature-store will continue to work without modification after switching to databricks-feature-engineering
- Whether the proprietary license permits use in open-source or non-commercial projects
- Specific Python version compatibility beyond the stated >=3.7 requirement
Package facts
| License | Databricks Proprietary License unclear |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagedatabricks-feature-engineering |
| Maintenance | Dormant 948 days since the last release |
| First released | |
| Downloads | 576,691 / month, #5,927 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: databricks_feature_store-0.17.0-py3-none-any.whl
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See also databricks-feature-engineering · databricks-vectorsearch · databricks-agents · databricks-ai-search · langchain-databricks · databricks-labs-remorph · databricks-bundles · databricks-cli · databricks-langchain · dbt-databricks