head to head · open source
Apache Pinot vs dlt
Apache Pinot has 6,171 GitHub stars, 1,529 forks, 1,403 open issues and last shipped yesterday. dlt has 6,051 stars, 649 forks, 434 open issues and last shipped 3 days ago. Apache Pinot leads on adoption by 2% (6,171 vs 6,051 stars). Apache Pinot is written in Java under Apache-2.0; dlt is written in Python under Apache-2.0. Apache Pinot has attracted 25% as many forks as stars, dlt 11%. 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 | dlt | |
|---|---|---|
| GitHub stars | ★ 6.2K | ★ 6.1K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Java | Python |
| Last push | 2026-11-02 | 2026-10-31 |
| Forks | ⑂ 1.5K | ⑂ 649 |
| 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 dlt if
- You want the dlt feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and dlt 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 dlt
data load tool (dlt) — the open source Python library that automates all your tedious data loading tasks Be it a Google Colab notebook, AWS Lambda function, an Airflow DAG, your local laptop, or an AI coding agent— dlt can be dropped in anywhere. 🚀 Join our thriving community of likeminded developers and build the future together! Installation dlt supports Python 3.10 through Python 3.14. Note that some optional extras are not yet available for Python 3.14, so support for this version is considered experimental. Add the extras you need for your sources and destinations, for example: Prefer uv? uv add…
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Frequently asked questions
Is Apache Pinot or dlt more popular?
Apache Pinot has 6,171 GitHub stars and dlt has 6,051. Apache Pinot has the larger community by that measure.
Are Apache Pinot and dlt free?
Both are open source. Apache Pinot is licensed under Apache-2.0 and dlt under Apache-2.0. Neither carries a licence fee.
What is the difference between Apache Pinot and dlt?
Apache Pinot is written in Java and dlt 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 dlt?
Choose Apache Pinot if you want the larger community (6,171 stars) or its Apache-2.0 licence terms. Choose dlt if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.