Open source bigdata projects
Every project in the registry tagged bigdata, ranked by real GitHub adoption.
RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platforms such as M
Time-series database and historian for industrial data
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
JuiceFS is a distributed POSIX file system built on top of Redis and S3.
Cloud-native data warehouse for lightning-fast analytics
A data integration framework
Distributed Big Data Orchestration Service
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Pyth
S3-compatible object storage built with Swift
Related tags
Frequently asked questions
How many open source bigdata projects are there?
This registry tracks 10 projects tagged bigdata, with 114,256 GitHub stars between them. The most-adopted is rustfs at 35,634 stars.
Are these bigdata projects free to use?
Yes — 10 of the 10 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?
10 of the 10 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.