Create full-fledged APIs for slowly moving datasets without writing a single line of code.

Copy to/from Parquet in S3, Azure Blob Storage, Google Cloud Storage, http(s) stores, local files or standard inout stream from within PostgreSQL

DuckDB-powered data lake analytics from Postgres

Document, columnar, KV, Graph, Vector, Array - The only all-in-one database that you need.

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

ergonomic columnar storage encoding crate

Columnar type support for Rust

Positorium is a new type of database that provides features from relational, graph, columnar, and name-value pair databases.

Memory-safe, clean-room Rust reimplementation of pandas with packetized conformance gates, strict/hardened runtime modes, and RaptorQ-backed artifact durability.

Graph database native to the cloud. Embedded, multi-tenant, built on object storage.

Embedded single-table engine in rust, where the data is both row and columnar and the metadata is Iceberg-compatible. Write rows to Table, that can be queried via SQL from DuckDB/Spark/Trino/Snowflake/SFDataCloud - zero ETL.

The most effecient and fastest DB for time-series and/or financial data

Columnar compression for JSON logs. 30-50% smaller than zstd, 20x faster.

High-performance columnar time-series database for financial exchanges, written in Rust

Rust library that implements a versioned, lossless, deterministic binary envelope for transporting columnar batches.

⚙️ Reimplement pandas in Rust for full compatibility, safety, and high performance with advanced columnar execution and strict semantic fidelity.