apache-flink ☆
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Description:
Scalable batch and stream data processing
Type: Formula  |  Latest Version: 2.2.1@0  |  Tracked Since: Dec 17, 2025
Links: Homepage  |  @ApacheFlink  |  formulae.brew.sh
Category: Developer tools
Tags: stream-processing data-pipeline big-data real-time-analytics etl
Install: brew install apache-flink
About:
Apache Flink is a framework for stateful computations over unbounded and bounded data streams. It provides high-throughput, low-latency stream processing with features like event-time processing and exactly-once state consistency. The tool enables building robust data pipelines for real-time analytics and ETL workloads.
Key Features:
  • Stream and batch processing unified
  • Exactly-once state consistency
  • High throughput and low latency
  • Flexible windowing and time semantics
  • Distributed state management
Use Cases:
  • Real-time analytics dashboards
  • Fraud detection systems
  • Log processing and ETL pipelines
  • Event-driven applications
Alternatives:
  • Apache Spark – Spark uses micro-batching for streams, while Flink offers true event-by-event processing with lower latency
  • Apache Kafka Streams – Kafka Streams is tightly coupled to Kafka, while Flink supports multiple sources/sinks and more complex topologies
License: Apache-2.0
Dependencies: openjdk@21
Bottles available for: all
Version History
Detected Version Rev Change Commit
May 15, 2026 11:09pm 2.2.1 0 VERSION_BUMP d6b5ac2f
Dec 4, 2025 4:54am 2.2.0 0 VERSION_BUMP 8d0cb032
Nov 10, 2025 10:51am 2.1.1 0 VERSION_BUMP 9e84c7cb
Jan 19, 2024 12:26pm 1.18.1 0 VERSION_BUMP 180a978e
Oct 26, 2023 7:52am 1.18.0 0 VERSION_BUMP 7c31af36
Oct 24, 2023 11:40am 1.17.1 0 VERSION_BUMP 73463940
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