head to head · open source
debezium vs docetl
debezium has 13,129 GitHub stars, 3,042 forks, 131 open issues and last shipped yesterday. docetl has 4,097 stars, 443 forks, 45 open issues and last shipped 13 days ago. debezium leads on adoption by 220% (13,129 vs 4,097 stars). debezium is written in Java under Apache-2.0; docetl is written in Python under MIT. debezium has attracted 23% as many forks as stars, docetl 11%. debezium 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
| debezium | docetl | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 4.1K |
| License | Apache-2.0 | MIT |
| Written in | Java | Python |
| Last push | 2026-09-17 | 2026-09-05 |
| Forks | ⑂ 3.0K | ⑂ 443 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick debezium if
- You weight community size — 13K 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 docetl if
- You want the docetl feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and docetl fits your workflow better
About debezium
Debezium is an open source, low latency change data capture (CDC) platform that monitors databases and turns every row level change into an ordered event stream that applications consume, and it is built for Java teams already running Apache Kafka and Kafka Connect.
read the full debezium overview →
About docetl
DocETL is a Python system for agentic LLM powered data processing and ETL. It lives in the data engineering and document processing ecosystem, where pipelines must turn structured records and unstructured documents into queryable tables. Users describe each operation in natural language, and DocETL provides operators such as map, reduce, and filter, then orchestrates them across the data.
read the full docetl overview →
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Frequently asked questions
Is debezium or docetl more popular?
debezium has 13,129 GitHub stars and docetl has 4,097. debezium has the larger community by that measure.
Are debezium and docetl free?
Both are open source. debezium is licensed under Apache-2.0 and docetl under MIT. Neither carries a licence fee.
What is the difference between debezium and docetl?
debezium is written in Java and docetl 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, debezium or docetl?
Choose debezium if you want the larger community (13,129 stars) or its Apache-2.0 licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.