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.
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Company Information
Apache Software Foundation
Founded: 1999
United States
flink.apache.org
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Cloud
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Documentation
Apache Flink Frequently Asked Questions
Q: What kinds of users and organization types does Apache Flink work with?
Apache Flink works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Apache Flink support in their product?
Apache Flink supports these languages: English.
Q: What other applications or services does Apache Flink integrate with?
Apache Flink integrates with: Alibaba Log Service, Apache Doris, Apache Hudi, Apache Iceberg, Apache Knox, Apache Kudu, Apache Mesos, Apache Zeppelin, Arroyo, Scalytics Connect, Deep.BI, DeltaStream, E-MapReduce, Foundational, Gable, GlassFlow, Hadoop, Hue, Kubernetes, lakeFS, Netdata, StarTree, VeloDB, Ververica, and Warp 10 and more.
Q: Does Apache Flink have an API?
Yes, Apache Flink has an API.
Q: What type of training does Apache Flink provide?
Apache Flink provides training in the form of documentation.
