Open source bigdata projects

Every project in the registry tagged bigdata, ranked by real GitHub adoption.

projects 6 combined stars ★ 74K refresh nightly
01 TDengine ★ 25K

Time-series database and historian for industrial data

last push23 hours ago languageC licenseAGPL-3.0
02 shardingsphere ★ 21K

Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.

last push10 hours ago languageJava licenseApache-2.0
03 juicefs ★ 14K

JuiceFS is a distributed POSIX file system built on top of Redis and S3.

last push15 hours ago languageGo licenseApache-2.0
04 Databend ★ 9.4K

Cloud-native data warehouse for lightning-fast analytics

last push7 hours ago languageRust license
05 chunjun ★ 4.1K

A data integration framework

last push10 months ago languageJava licenseApache-2.0
06 Alarik ★ 538

S3-compatible object storage built with Swift

last push15 days ago languageSwift licenseApache-2.0

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Frequently asked questions

How many open source bigdata projects are there?

This registry tracks 6 projects tagged bigdata, with 74,439 GitHub stars between them. The most-adopted is TDengine at 25,121 stars.

Are these bigdata projects free to use?

Yes — 5 of the 6 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.

Which bigdata project should I choose?

The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.

Are these bigdata projects still maintained?

5 of the 6 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.