Columnar Storage
Showing 15 of 15 projects
An open-source time-series database for high-speed ingestion and low-latency SQL queries.
A high-performance real-time analytics database designed for fast queries and ingest to reduce time to insight.
A PostgreSQL extension that transforms Postgres into a distributed database for high performance at any scale.
An open-source embedded retrieval library for multimodal AI, offering fast vector search, SQL, and full-text search.
A PostgreSQL extension that brings Elastic-quality full-text search and analytics directly inside Postgres.
A PostgreSQL extension that brings Elastic-quality full-text search and analytics directly inside Postgres.
Embedded property graph database optimized for speed with built-in vector search, full-text search, and Cypher query language.
Feather is a binary columnar serialization format for data frames, enabling fast and interoperable data sharing between Python, R, and other languages.
A high-performance Python package for fast, multi-threaded manipulation of large tabular datasets, inspired by R's data.table.
A columnar storage extension for PostgreSQL built as a foreign data wrapper, optimized for analytics and data archival.
A high-performance, columnar, in-memory storage engine with bitmap indexing and zero-allocation queries, written in Go.
An embedded graph database optimized for query speed and scalability on complex analytical workloads.
An open specification for storing geospatial vector data (points, lines, polygons) in the Apache Parquet columnar storage format.
A high-performance, functional tabular data processing library for Clojure, similar to Python's Pandas or R's data.table.
A Go library that generates type-safe Parquet readers and writers from Go structs or existing Parquet files.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.