redpanda-data/connect
Fancy stream processing made operationally mundane observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 99
- Release rhythm 86
- Longevity 100
Flags: no_license
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: 6
- age_days: 3817
- days_rel: 13
- days_push: 7
- n_releases_24m: 102
Adoption not part of the score
8736 stars · 959 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Redpanda Connect (formerly Benthos) is a declarative stream processor that moves data between hundreds of sources and sinks with transformation, enrichment, and filtering via the Bloblang mapping language. Pipelines are defined in a single YAML file and run as a stateless, horizontally scalable binary or container.
Use cases
- stream postgres database changes into iceberg tables on s3
- pipe kafka topics to elasticsearch with transformations
- build etl pipelines between message brokers like rabbitmq and nats
- enrich and filter log streams before shipping to a data lake
- set up change data capture from mysql or mongodb
- transform json events between cloud services like s3 and bigquery
When to choose
- you need to move and transform data between many systems with declarative YAML config
- you want CDC from databases flowing into analytics stores as first-class events
- you need at-least-once delivery with a stateless, horizontally scalable deployment
- you prefer a single static binary or container over maintaining custom pipeline code
When to avoid
- you need exactly-once processing semantics with durable state
- you want a visual drag-and-drop pipeline builder rather than config files
- your transformations require complex custom logic better expressed in a general-purpose language
- you need a full streaming broker rather than a connector/processor layer
Facets
application · maturity active
streaming etl message-queue data-science configuration-management big-data databases analytics go windows cli self-hosted cloud stream-processing change-data-capture bloblang kafka data-pipelines connectors yaml-config event-streaming data-engineering real-time docker kubernetes linux macos
10 sources
- readme: https://github.com/redpanda-data/connect · fetched 2026-08-28 · 20d49241bca1
- homepage: https://docs.redpanda.com/connect/home/ · fetched 2026-08-29 · a6e48227e113
- site_page: https://docs.redpanda.com/home · fetched 2026-08-29 · ef4b8c4fd806
- site_page: https://docs.redpanda.com/streaming/current/get-started/quickstarts · fetched 2026-08-29 · 0e39761c86b2
- site_page: https://docs.redpanda.com/streaming/current/get-started/rpk-quickstart · fetched 2026-08-29 · bfa2dbee68a4
- site_page: https://docs.redpanda.com/streaming/current/get-started/licensing/overview · fetched 2026-08-29 · ffb32fdbeba2
- site_page: https://docs.redpanda.com/streaming/current/get-started/licensing/disable-enterprise-features · fetched 2026-08-29 · 79178f46c642
- site_page: https://docs.redpanda.com/streaming/current/get-started/rpk-install · fetched 2026-08-29 · 9d234545d210
- site_page: https://docs.redpanda.com/streaming/current/get-started/partner-integration · fetched 2026-08-29 · 75309d86d081
- site_page: https://docs.redpanda.com/streaming/current/manage/cluster-maintenance/about-throughput-quotas · fetched 2026-08-29 · 119aed1fb1f4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| redpanda-data/connect | main | 95 |
For agents
markdown · JSON · MCP: product_card(name="redpanda-data/connect")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem