head to head · open source

flink-cdc vs peerdb

flink-cdc has 6,491 GitHub stars, 2,205 forks, 119 open issues and last shipped yesterday. peerdb has 3,314 stars, 232 forks, 204 open issues and last shipped 2 days ago. flink-cdc leads on adoption by 96% (6,491 vs 3,314 stars). flink-cdc is written in Java under Apache-2.0; peerdb is written in Go under AGPL-3.0. flink-cdc has attracted 34% as many forks as stars, peerdb 7%. flink-cdc was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (cdc, etl, kafka), 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 peerdb ★ 3.3K category Data & Analytics

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flink-cdc peerdb
GitHub stars ★ 6.5K ★ 3.3K
License Apache-2.0 AGPL-3.0
Written in Java Go
Last push 2026-11-04 2026-11-03
Forks ⑂ 2.2K ⑂ 232
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 peerdb if

  • You want the peerdb feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Go
  • You evaluated both and peerdb fits your workflow better

full peerdb profile →

About flink-cdc

Flink CDC is a distributed data integration tool for real time data and batch data, built on top of Apache Flink. It prioritizes efficient end to end data integration and offers enhanced functionalities such as full database synchronization, sharding table synchronization, schema evolution and data transformation. API Layers Flink CDC provides three API layers for different usage scenarios: 1. YAML API (Pipeline API) The YAML API provides a declarative, zero code approach to define data pipelines. Users describe the source, sink, routing, transformation, and schema evolution rules in a YAML file and submit it…

read the full flink-cdc overview →

About peerdb

Frustratingly simple ETL for Postgres PeerDB At PeerDB, we are building a fast, simple and the most cost effective way to stream data from Postgres to Data Warehouses, Queues and Storage engines. If you are running Postgres at the heart of your data stack and move data at scale from Postgres to any of the above targets, PeerDB can provide value. We support different modes of streaming log based (CDC), cursor based (timestamp or integer) and XMIN based. Performance wise, we are 10x faster than existing tools. Features wise, we support native Postgres features such as comprehensive set of data types incl…

read the full peerdb overview →

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Frequently asked questions

Is flink-cdc or peerdb more popular?

flink-cdc has 6,491 GitHub stars and peerdb has 3,314. flink-cdc has the larger community by that measure.

Are flink-cdc and peerdb free?

Both are open source. flink-cdc is licensed under Apache-2.0 and peerdb under AGPL-3.0. Neither carries a licence fee.

What is the difference between flink-cdc and peerdb?

flink-cdc is written in Java and peerdb in Go. 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 peerdb?

Choose flink-cdc if you want the larger community (6,491 stars) or its Apache-2.0 licence terms. Choose peerdb if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.