Apache Flink
flink.apache.orgStateful Computations over Data Streams
Data & Analyticsstream-processingdata-pipelinesetlreal-time-analyticsdistributed-systemsopen-sourcebatch-processing
About
Apache Flink is an open-source stream processing framework for distributed, high-performance, and stateful computations over both bounded and unbounded data streams. It supports event-time processing, exactly-once state consistency, and layered APIs ranging from SQL to low-level ProcessFunctions. Flink is designed for use cases such as event-driven applications, real-time analytics, and data pipeline ETL workloads.
Problem
Processing large-scale streaming and batch data with correctness guarantees, low latency, and high throughput is complex to implement from scratch.
For
data engineers and software developers building real-time or batch data processing applications
How it works
Flink provides a distributed runtime with stateful operators, checkpointing, and layered APIs (SQL, DataStream, ProcessFunction) that run on flexible cluster deployments to process event streams and batch datasets.
Business model
open-source
Status
launched
Company
Apache Software Foundation