head to head · open source
debezium vs metorikku
debezium has 13,307 GitHub stars, 3,124 forks, 131 open issues and last shipped yesterday. metorikku has 589 stars, 155 forks, 65 open issues and last shipped 2 months ago. debezium leads on adoption by 2,159% (13,307 vs 589 stars). debezium is written in Java under Apache-2.0; metorikku is written in Scala under MIT. debezium has attracted 23% as many forks as stars, metorikku 26%. 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 | metorikku | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 589 |
| License | Apache-2.0 | MIT |
| Written in | Java | Scala |
| Last push | 2026-11-02 | 2026-09-01 |
| Forks | ⑂ 3.1K | ⑂ 155 |
| 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 metorikku if
- You want the metorikku feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Scala
- You evaluated both and metorikku fits your workflow better
About debezium
Copyright Debezium Authors. Licensed under the Apache License, Version 2.0. The Antlr grammars within the debezium ddl parser module are licensed under the MIT License. English Chinese Japanese Korean Debezium Debezium is an open source project that provides a low latency data streaming platform for change data capture (CDC). You set up and configure Debezium to monitor your databases, and then your applications consume events for each row level change made to the database. Only committed changes are visible, so your application doesn't have to worry about transactions or changes that are rolled back. Debezium…
read the full debezium overview →
About metorikku
Metorikku is a library that simplifies writing and executing ETLs on top of Apache Spark. It is based on simple YAML configuration files and runs on any Spark cluster. The platform also includes a simple way to write unit and E2E tests. Getting started To run Metorikku you must first define 2 files. Metric file A metric file defines the steps and queries of the ETL as well as where and what to output. For example a simple configuration YAML (JSON is also supported) should be as follows: yaml metric: "/path/to/metric" mocks: name: table 1 path: mocks/table 1.jsonl tests: df2: id: 200 name: test id: 300 name…
read the full metorikku overview →
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Frequently asked questions
Is debezium or metorikku more popular?
debezium has 13,307 GitHub stars and metorikku has 589. debezium has the larger community by that measure.
Are debezium and metorikku free?
Both are open source. debezium is licensed under Apache-2.0 and metorikku under MIT. Neither carries a licence fee.
What is the difference between debezium and metorikku?
debezium is written in Java and metorikku in Scala. 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 metorikku?
Choose debezium if you want the larger community (13,307 stars) or its Apache-2.0 licence terms. Choose metorikku if its feature set, stack or MIT licence fits better. Both are self-hostable.