Columnar Storage
Showing 17 of 17 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.
An embedded graph database optimized for query speed and scalability on complex analytical workloads.
A high-performance, columnar, in-memory storage engine with bitmap indexing and zero-allocation queries, written in Go.
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.
A pure PHP library for reading and writing Parquet columnar storage files without external dependencies.
A lightning talk demonstrating how to use Apache Arrow with dplyr for efficient data manipulation in R.
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