# spring-attic/spring-cloud-dataflow

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

Repository: https://github.com/spring-attic/spring-cloud-dataflow
Canonical: https://ross.abutalabs.com/products/spring-cloud-dataflow
Homepage: https://dataflow.spring.io
Language: Java
License: Apache-2.0
License Family: permissive
Topics: microservices-architecture, orchestration, stream-processing, batch-processing, predictive-analytics, cloud-native, datapipelines
Archived: true
Last push: 2025-04-30T15:43:28+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 19, release rhythm 8, longevity 100
- inputs: {"age_days": 4061, "days_push": 490, "days_rel": 713, "gap_med": null, "n_releases_24m": 1}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1140, forks 592 (observed 2026-08-28T04:03:44.383715+00:00)

## What it is
Spring Cloud Data Flow is a microservices-based toolkit for orchestrating streaming and batch data processing pipelines built from Spring Boot apps, deployable to Local, Cloud Foundry, and Kubernetes. It provides a REST API, dashboard UI, shell, and DSL for composing, deploying, and managing stream and task/batch pipelines.

## Use cases
- orchestrate streaming data pipelines on kubernetes
- deploy spring cloud stream microservices as a pipeline
- manage and schedule spring batch jobs
- compose event streaming topologies with kafka or rabbitmq
- build etl pipelines from prebuilt microservice apps
- monitor and restart failed batch jobs from a dashboard
- upgrade streaming pipelines with zero downtime

## When to choose
- you are already invested in the Spring ecosystem and Spring Boot microservices
- you need to orchestrate both streaming and batch pipelines on Kubernetes or Cloud Foundry
- you want a dashboard, DSL, and REST API for pipeline lifecycle management

## When to avoid
- you need actively maintained open-source software - the project is no longer maintained as open source by Broadcom
- you want a lightweight single-binary stream processor rather than a microservices orchestration platform
- you are not using the Spring/JVM ecosystem

## Facets
- artifact type: framework
- maturity: abandoned
- function: streaming, workflow-automation, scheduling, deployment, microservices, api-framework, monitoring
- domain: big-data, microservices, cloud-computing, developer-tools
- platform: cloud, jvm, self-hosted
- tags: stream-processing, batch-processing, data-pipelines, orchestration, spring, cloud-foundry, kafka, dsl, dashboard, discontinued, data-engineering, automation, kubernetes, docker

## Member repositories
- spring-attic/spring-cloud-dataflow (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:44.383715+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:35:48.820038+00:00, confidence not recorded.
  - readme: https://github.com/spring-attic/spring-cloud-dataflow (fetched 2026-08-28T04:03:44.383715+00:00, sha 4a6e5743ef8d)
  - homepage: https://dataflow.spring.io (fetched 2026-08-29T12:40:47.848562+00:00, sha a3452ebb6ff9)
  - site_page: https://dataflow.spring.io/features (fetched 2026-08-29T12:40:47.851136+00:00, sha 547203db7a4d)
  - site_page: https://dataflow.spring.io/docs (fetched 2026-08-29T12:40:47.852905+00:00, sha cbf3978d8ea4)
  - site_page: https://dataflow.spring.io/getting-started (fetched 2026-08-29T12:40:47.854530+00:00, sha 4fc4339f019d)
  - site_page: https://dataflow.spring.io/docs/concepts (fetched 2026-08-29T12:40:47.856150+00:00, sha 31c7b99f4bae)
  - site_page: https://dataflow.spring.io/docs/concepts/tooling (fetched 2026-08-29T12:40:47.857719+00:00, sha 4ca1554fcd58)
- Data as of 2026-08-30T08:39:29.467469+00:00.