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The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.

An open lakehouse engine — Postgres-native, vector-native and Python-native. Speaks PostgreSQL, runs on your object storage, written in Rust.

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

Open-source data management for multimodal AI. Query, trace, and govern with a lineage-native, format-agnostic lakehouse for agents and teams. Supports biological formats and registries - by the creators of Scanpy. 🍊YC S22

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Open Control Plane for Tables in Data Lakehouse

A data lakehouse on Databricks with the medallion architecture: PySpark, Spark SQL, Delta Lake and Unity Catalog. The project of the free Databricks bootcamp.

Lakehouse native graph engine with git-style workflows