apache-flink ☆

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Description:
Scalable batch and stream data processing

Type: Formula | Latest Version: 2.2.0@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
Dec 4, 2025 4:54am	2.2.0	0	VERSION_BUMP	8d0cb032
Nov 10, 2025 10:51am	2.1.1	0	VERSION_BUMP	9e84c7cb