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Flink

Flink

Apache Software Foundation

Open source platform for distributed stream and batch data processing.

Updated 4h ago
Open SourceData Analysis62

About Flink

Apache Flink, maintained by the Apache Software Foundation, is an open-source distributed processing engine for stateful computations over both real-time (unbounded) and batch (bounded) data streams — used for analytics, event-driven applications, and ETL at scale. It provides exactly-once state consistency, event-time processing, and high-availability deployment with savepoints (so jobs can be paused and resumed without losing state), plus layered APIs — SQL, the DataStream API, and lower-level ProcessFunction — so teams can pick the right level of control for a given job. As foundational streaming infrastructure rather than an end-user tool, it requires real distributed-systems expertise to operate well in production; it's aimed squarely at data engineering teams, not casual users. It's free and open source under the Apache License v2, with active releases (Flink 2.3.0 in June 2026, Flink Agents 0.3.1 in July 2026) showing ongoing development. Good fit for a data engineering team that needs to process high-volume, low-latency event streams reliably at scale.

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Key Information

Pricing
Open Source
Free Trial
No
API Access
No
Open Source
Yes
Category
Data Analysis
Developer
Apache Software Foundation
Last Updated
4h ago
Website Status
Online
Documentation
View Docs

Features

Real-time and batch stream processing engine
Exactly-once state consistency, event-time processing
High-availability deployment with savepoints
Layered APIs: SQL, DataStream, ProcessFunction
In-memory performance, low latency, high throughput
Free and open source (Apache License v2)

Pricing

Open Source
This tool is open source and free to use or modify.

Free tier available

Frequently Asked Questions

Flink is open source and free to use.

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