Apache Flink
Is this your brand? Claim it — free, and takes a minute with your work email.
Overview
Tagline Brand's website · 2026-10-04
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.
Description Brand's website · 2026-10-04
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.
Offerings
Core capabilities Brand's website · 2026-10-04
- 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.
Pricing Brand's website · 2026-10-04
Open-source / Free
Audience
Target industry Brand's website · 2026-10-04
Developers, data engineers, and organizations building event-driven applications, real-time analytics solutions, and data integration (ETL) pipelines.
Is this your business?
The information above is publicly sourced — assembled by Optimly from Apache Flink's website and public pages.
Claim this profile to publish your own verified Business Profile and speak for Apache Flink across the index.
Claim Apache Flink — free →Page last updated 2026-10-04.