# Apache Flink

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/apache-flink
- **Dataset:** https://optimly.ai/brand/apache-flink.json
- **Markdown:** https://optimly.ai/brand/apache-flink/llms.txt
- **Official website:** https://apache.org
- **Slug:** apache-flink
- **Categories:** data-analytics-business-intelligence

## Overview

- **Tagline:** Offers exactly-once state consistency, sophisticated late data handling, layered APIs, flexible deployment with high-availability, scalability with support for very large state and incremental checkpoints, and high performance with low latency and high throughput leveraging in-memory computing.
Source: Brand's website (https://apache.org) · 2026-10-04

- **Description:** Apache Flink is an open-source distributed stream processing framework for stateful computations over unbounded and bounded data streams. It provides capabilities for correctness guarantees, layered APIs (SQL, DataStream, ProcessFunction), operational focus, scalability, and high performance for use cases like event-driven applications, stream & batch analytics, and data pipelines/ETL.
Source: Brand's website (https://apache.org) · 2026-10-04

## Offerings

- **Core capabilities:**
  - A distributed stream and batch processing framework that supports event-driven applications
  - stream & batch analytics
  - and data pipelines/ETL through various APIs like SQL on Stream & Batch Data
  - DataStream API
  - and ProcessFunction.
Source: Brand's website (https://apache.org) · 2026-10-04

- **Pricing:** Open-source / Free
Source: Brand's website (https://apache.org) · 2026-10-04

## Audience

- **Target industry:** Developers, data engineers, and organizations building event-driven applications, real-time analytics solutions, and data integration (ETL) pipelines.
Source: Brand's website (https://apache.org) · 2026-10-04

Page last updated 2026-10-17.