Open source big-data projects
Every project in the registry tagged big-data, ranked by real GitHub adoption.
Lightning-fast analytics for massive datasets
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
A distributed, fast open-source graph database featuring horizontal scalability and high availability
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRock
Lightning-fast search for massive datasets
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Time-series database built for industrial IoT workloads
Scalable SQL database for real-time analytics
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
Unlock Data's Potential with Open Source Power
Related tags
Frequently asked questions
How many open source big-data projects are there?
This registry tracks 10 projects tagged big-data, with 123,784 GitHub stars between them. The most-adopted is ClickHouse at 49,951 stars.
Are these big-data projects free to use?
Yes — 10 of the 10 carry an explicit open-source licence across 1 distinct licence, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which big-data 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 big-data 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.