Use case
Databases for ML feature store
Low-latency feature serving and offline feature computation for ML. The leading options are Feldera, Materialize and Databricks Lakebase.
11 active · ordered by fit for this category, then WhichDB Score
An incremental SQL engine grounded in DBSP theory that updates any SQL query from changes only.
A Postgres-compatible operational data warehouse that keeps SQL views incrementally up to date.
Databricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog.
C++ rewrite of Cassandra with shard-per-core design; also speaks the DynamoDB API.
Flash-optimized distributed key-value and document database for predictable sub-millisecond latency at scale.
Google's managed wide-column store, the original Bigtable, with HBase API and SQL access.
Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data.
MySQL-compatible SQL database you can branch, diff, merge and clone like a Git repository.
An Apache-licensed, Postgres-compatible streaming database that stores state on S3 and writes Iceberg.
Version-controlled SQL database with PostgreSQL compatibility: branch, diff and merge your tables.
Activeloop's tensor-native data engine for AI: vectors, multimodal data and versioning on object storage.
deprecated, discontinued & research · 2
license legend · Open source (permissive) · Open source (copyleft) · Source-available · Proprietary