head to head · open source

flink-cdc vs docetl

flink-cdc has 6,477 GitHub stars, 2,197 forks, 119 open issues and last shipped 2 days ago. docetl has 4,101 stars, 443 forks, 45 open issues and last shipped 15 days ago. flink-cdc leads on adoption by 58% (6,477 vs 4,101 stars). flink-cdc is written in Java under Apache-2.0; docetl is written in Python under MIT. flink-cdc has attracted 34% as many forks as stars, docetl 11%. flink-cdc was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (elt, etl), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

flink-cdc ★ 6.5K docetl ★ 4.1K category Data & Analytics

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Side by side

flink-cdc docetl
GitHub stars ★ 6.5K ★ 4.1K
License Apache-2.0 MIT
Written in Java Python
Last push 2026-09-18 2026-09-05
Forks ⑂ 2.2K ⑂ 443
Self-hosting Yes Yes
Data ownership Your server Your server

pick flink-cdc if

  • You weight community size — 6.5K 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

full flink-cdc profile →

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

full docetl profile →

About flink-cdc

Flink CDC is an Apache 2.0 streaming data integration tool built on Apache Flink that moves real time and batch data between databases and downstream systems, and it is aimed at data engineers and platform teams who need change data capture pipelines without writing per source job code.

read the full flink-cdc 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 flink-cdc or docetl more popular?

flink-cdc has 6,477 GitHub stars and docetl has 4,101. flink-cdc has the larger community by that measure.

Are flink-cdc and docetl free?

Both are open source. flink-cdc is licensed under Apache-2.0 and docetl under MIT. Neither carries a licence fee.

What is the difference between flink-cdc and docetl?

flink-cdc 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, flink-cdc or docetl?

Choose flink-cdc if you want the larger community (6,477 stars) or its Apache-2.0 licence terms. Choose docetl if its feature set, stack or MIT licence fits better. Both are self-hostable.