head to head · open source
Apache Pinot vs bigquery-utils
Apache Pinot has 6,171 GitHub stars, 1,529 forks, 1,403 open issues and last shipped yesterday. bigquery-utils has 1,314 stars, 336 forks, 64 open issues and last shipped 4 months ago. Apache Pinot leads on adoption by 370% (6,171 vs 1,314 stars). Apache Pinot is written in Java under Apache-2.0; bigquery-utils is written in Jupyter Notebook under Apache-2.0. Apache Pinot has attracted 25% as many forks as stars, bigquery-utils 26%. 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.
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Side by side
| Apache Pinot | bigquery-utils | |
|---|---|---|
| GitHub stars | ★ 6.2K | ★ 1.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Java | Jupyter Notebook |
| Last push | 2026-11-02 | 2026-07-03 |
| Forks | ⑂ 1.5K | ⑂ 336 |
| 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 bigquery-utils if
- You want the bigquery-utils feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and bigquery-utils 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 bigquery-utils
BigQuery Utils BigQuery is a serverless, highly scalable, and cost effective cloud data warehouse with an in memory BI Engine and machine learning built in. This repository provides useful utilities to assist you in migration and usage of BigQuery. Getting Started This repository is broken up into: Dashboards Pre built dashboards for common use cases System Tables Looker Studio Dashboards built on BigQuery's INFORMATION SCHEMA metadata views to understand organization's slot and reservation utilization, job execution, and job errors. Notebooks Colab notebooks for various BigQuery related use cases. BigQuery…
read the full bigquery-utils overview →
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Frequently asked questions
Is Apache Pinot or bigquery-utils more popular?
Apache Pinot has 6,171 GitHub stars and bigquery-utils has 1,314. Apache Pinot has the larger community by that measure.
Are Apache Pinot and bigquery-utils free?
Both are open source. Apache Pinot is licensed under Apache-2.0 and bigquery-utils under Apache-2.0. Neither carries a licence fee.
What is the difference between Apache Pinot and bigquery-utils?
Apache Pinot is written in Java and bigquery-utils in Jupyter Notebook. 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 bigquery-utils?
Choose Apache Pinot if you want the larger community (6,171 stars) or its Apache-2.0 licence terms. Choose bigquery-utils if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.