Audience

Streaming analytics framework for anyone

About Apache Flink

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Any kind of data is produced as a stream of events. Credit card transactions, sensor measurements, machine logs, or user interactions on a website or mobile application, all of these data are generated as a stream. Apache Flink excels at processing unbounded and bounded data sets. Precise control of time and state enable Flink’s runtime to run any kind of application on unbounded streams. Bounded streams are internally processed by algorithms and data structures that are specifically designed for fixed sized data sets, yielding excellent performance. Flink is designed to work well each of the previously listed resource managers.

Integrations

API:
Yes, Apache Flink offers API access

Ratings/Reviews

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Company Information

Apache Software Foundation
Founded: 1999
United States
flink.apache.org

Videos and Screen Captures

Apache Flink Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation

Apache Flink Frequently Asked Questions

Q: What kinds of users and organization types does Apache Flink work with?
Q: What languages does Apache Flink support in their product?
Q: What other applications or services does Apache Flink integrate with?
Q: Does Apache Flink have an API?
Q: What type of training does Apache Flink provide?

Apache Flink Product Features

Streaming Analytics

Visualization Dashboards Not Supported
Real-time Analysis / Reporting Not Supported
Multiple Data Source Support Not Supported
Data Wrangling / Data Prep Not Supported
Data Enrichment Not Supported
Process Automation Not Supported