head to head · open source
debezium vs sycamore
debezium has 13,130 GitHub stars, 3,042 forks, 131 open issues and last shipped today. sycamore has 608 stars, 72 forks, 57 open issues and last shipped 2 months ago. debezium leads on adoption by 2,060% (13,130 vs 608 stars). debezium is written in Java under Apache-2.0; sycamore is written in Python under Apache-2.0. debezium has attracted 23% as many forks as stars, sycamore 12%. 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 | sycamore | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 608 |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Java | Python |
| Last push | 2026-09-18 | 2026-08-01 |
| Forks | ⑂ 3.0K | ⑂ 72 |
| 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 sycamore if
- You want the sycamore 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 sycamore 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 sycamore
Sycamore is an open source, AI powered document processing engine for ETL, RAG, LLM based applications, and analytics on unstructured data. Sycamore can partition and enrich a wide range of document types including reports, presentations, transcripts, manuals, and more. It can analyze and chunk complex documents such as PDFs and images with embedded tables, figures, graphs, and other infographics. Check out an example notebook. For processing documents, Sycamore leverages Aryn DocParse (formerly known as the Aryn Partitioning Service), a serverless, GPU powered API for segmenting and labeling documents, doing OCR…
read the full sycamore overview →
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Frequently asked questions
Is debezium or sycamore more popular?
debezium has 13,130 GitHub stars and sycamore has 608. debezium has the larger community by that measure.
Are debezium and sycamore free?
Both are open source. debezium is licensed under Apache-2.0 and sycamore under Apache-2.0. Neither carries a licence fee.
What is the difference between debezium and sycamore?
debezium is written in Java and sycamore 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 sycamore?
Choose debezium if you want the larger community (13,130 stars) or its Apache-2.0 licence terms. Choose sycamore if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.