Ross ROSS = Recommend OSS · open-source software intelligence for agents

getdozer/dozer

Dozer is a real-time data movement tool that leverages CDC from various sources and moves data into various sinks. observed · 2026-08-28

github.com/getdozer/dozer · homepage · Rust · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1463
  • days_rel: n/a
  • days_push: 806
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1579 stars · 140 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Dozer is a real-time data movement tool written in Rust that captures change data (CDC) from sources like Postgres, MySQL, Snowflake, and Kafka and streams it into sinks such as ClickHouse, BigQuery, and data warehouses. It is configured via a single YAML file and claims to be significantly faster than a Debezium+Kafka pipeline.

Use cases

  • stream postgres changes to clickhouse in real time
  • cdc data pipeline without kafka
  • sync mysql database to a data warehouse
  • move data from s3 into bigquery continuously
  • build real-time data apis on top of a warehouse
  • replace debezium with a faster data replication tool
  • low-code etl configured with a single yaml file

When to choose

  • you need low-latency, real-time replication from operational databases into warehouses or analytics stores
  • you want a simpler, faster alternative to a Debezium + Kafka stack
  • your sources and sinks are among the supported ones (Postgres, MySQL, Snowflake, Kafka, MongoDB, S3, GCS into ClickHouse, Postgres, MySQL, BigQuery)

When to avoid

  • you need batch-only ETL with complex transformations rather than CDC streaming
  • you require Oracle or Aerospike connectors, which are enterprise-only
  • you need connectors with fully supported resuming for MongoDB, S3, or GCS, which are still incomplete
  • your sources or sinks are not on the supported list

Facets

application · maturity active

etl streaming database data-science databases analytics big-data self-hosted rust cli cdc change-data-capture data-pipeline real-time data-warehouse clickhouse postgres snowflake debezium-alternative low-code data-engineering linux macos docker

1 source

Member repositories

RepositoryRoleHealth v2
getdozer/dozermain23

For agents

markdown · JSON · MCP: product_card(name="getdozer/dozer")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem