head to head · open source
Apache Pinot vs bigfunctions
Apache Pinot has 6,171 GitHub stars, 1,529 forks, 1,403 open issues and last shipped yesterday. bigfunctions has 761 stars, 69 forks, 31 open issues and last shipped 2 months ago. Apache Pinot leads on adoption by 711% (6,171 vs 761 stars). Apache Pinot is written in Java under Apache-2.0; bigfunctions is written in Python under MIT. Apache Pinot has attracted 25% as many forks as stars, bigfunctions 9%. Apache Pinot was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| Apache Pinot | bigfunctions | |
|---|---|---|
| GitHub stars | ★ 6.2K | ★ 761 |
| License | Apache-2.0 | MIT |
| Written in | Java | Python |
| Last push | 2026-11-03 | 2026-08-23 |
| Forks | ⑂ 1.5K | ⑂ 69 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Apache Pinot if
- You weight community size — 6.2K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Java
- You value the larger contributor base for long-term maintenance
pick bigfunctions if
- You want the bigfunctions feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and bigfunctions fits your workflow better
About Apache Pinot
What is Apache Pinot? Features When should I use Pinot? Contributing to Pinot Apache Pinot YouTube Channel Building Pinot Deploying Pinot to Kubernetes Join the Community Documentation License What is Apache Pinot? Apache Pinot is a real time distributed OLAP datastore, built to deliver scalable real time analytics with low latency. It can ingest from batch data sources (such as Hadoop HDFS, Amazon S3, Azure ADLS, Google Cloud Storage) as well as stream data sources (such as Apache Kafka). Pinot was built by engineers at LinkedIn and Uber and is designed to scale up and out with no upper bound. Performance…
read the full Apache Pinot overview →
About bigfunctions
Supercharge BigQuery with BigFunctions 🔍️ 1. Supercharge BigQuery with BigFunctions 1. BigFunctions is a framework to build a governed catalog of BigQuery functions to supercharge BigQuery . 2. It also comes with 150+ functions built by the community that you can call directly (no install) or redeploy in YOUR catalog. 3. You can now perform any advanced data task, be it load, transform or take actions by running SQL commands in BigQuery. Learn more 👀 2. Call public BigFunctions without install from your GCP project All BigFunctions represented by a 'yaml' file in bigfunctions folder are deployed in public…
read the full bigfunctions overview →
More in Data & Analytics
Related comparisons
More Data Warehousing & Processing projects
Compare either of these against the rest of the Data Warehousing & Processing field.
Frequently asked questions
Is Apache Pinot or bigfunctions more popular?
Apache Pinot has 6,171 GitHub stars and bigfunctions has 761. Apache Pinot has the larger community by that measure.
Are Apache Pinot and bigfunctions free?
Both are open source. Apache Pinot is licensed under Apache-2.0 and bigfunctions under MIT. Neither carries a licence fee.
What is the difference between Apache Pinot and bigfunctions?
Apache Pinot is written in Java and bigfunctions in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Apache Pinot or bigfunctions?
Choose Apache Pinot if you want the larger community (6,171 stars) or its Apache-2.0 licence terms. Choose bigfunctions if its feature set, stack or MIT licence fits better. Both are self-hostable.