Top PARQUET GitHub Repositories & Tools (2026)

Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.

Official Rust implementation of Apache Arrow

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

Python tools for geographic data

Apache Kafka® compatible broker with S3, PostgreSQL, SQLite, Apache Iceberg and Delta Lake

OLake - Fastest Databases, Kafka & S3 Replication to Apache Iceberg with Table optimization (Called OLake Fusion). ⚡ Efficient, quick and scalable data ingestion for real-time analytics. Supported sources : Postgres, MongoDB, MySQL, Oracle, MSSql, DB2, Kafka, S3.

Open, SQL-native time-series database for telemetry you need to keep. 34M+ records/sec ingestion, 8M+ rows/sec queries. InfluxDB Line Protocol and Telegraf compatible. Open Parquet on your storage. Single binary. S3/Azure native. Air-gap ready. AGPL-3.0.

A fast minimal dependency implementation of Apache Parquet

Python module that provides a simple and convenient way to interact with InfluxDB 3.0.

Quilt is a Scientific Data Management Platform on AWS that helps teams and AI find, trust, and reuse data through deeply versioned, context-rich data packages.

Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression.