Apache Flink

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

26413 stars · 14064 forks observed · 2026-10-19

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.99

Apache Flink is an open‑source distributed processing engine for stateful computations over unbounded and bounded data streams. It provides high‑throughput, low‑latency stream and batch processing with exactly‑once guarantees.

Use cases

• real‑time event‑driven applications
• continuous analytics on live data streams
• ETL pipelines that need low‑latency processing
• batch analytics on large static datasets
• complex event processing with stateful windows

When to choose

• You need a unified engine for both streaming and batch workloads
• Your application requires exactly‑once processing guarantees
• Low latency and high throughput are critical
• You want to run on a variety of cluster environments (YARN, Kubernetes, etc.)

When to avoid

• Your workload is simple and can be handled by a lightweight message queue
• You require a pure SQL engine without custom programmatic APIs
• You need tight integration with a specific cloud vendor’s managed service that Flink does not support out of the box

Facets

framework · maturity active

streaming state-management big-data analytics windows cloud jvm stateful-computations exactly-once event-time low-latency high-throughput batch-processing sql fault-tolerance data-engineering streaming linux macos docker kubernetes

Member repositories

For agents

markdown · JSON · MCP: product_card(name="apache/flink")