Overview
Overall experience with Apache Flink
“Faster Real Time Processing”
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Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Apache Flink
Performance of Apache Flink Across Market Features
Apache Flink Likes & Dislikes
APIs provided by Flink. Easy to do simple transformations on top of kafka table via flink sql query. Its compatibility for kubernetes and bare-metal. Most importantly open-source.
It accept tons of data coming in extremely fast, possibly from various sources, analyze it, and publish real-time updates to a UI or some other place without storing any actual data.
1.) Flink is known for its best low latency and high throughput making suitable for real-time data processing. 2.) exactly one processing semantics provides data accuracy. 3.) supports both batch and streaming with rich apis and libraries.
I didnt find any to dislike. But has fewer deployment options compared to spark.
To update running topology existing needs to be destroyed and then new topology needs to created.
1.) Limited community support compared to spark. 2.) Managing and monitoring flink clusters can be complex when compared to others. 3.) Resource intensive to ensure the best performance.
Top Apache Flink Alternatives
Peer Discussions
Apache Flink Reviews and Ratings
- DATABASE ARCHITECT50M-1B USDTelecommunicationReview Source
Apache Flink review
Flink is easy to setup and use. Its data processing features are good, like real-time without storing data. - SOFTWARE DEVELOPER50M-1B USDTelecommunicationReview Source
Apache Flink Review
Flink is a powerful streaming platform with some excellent capabilities compared to peers. Though has few cons, it is one of best in the industry. - SOFTWARE DEVELOPER<50M USDSoftwareReview Source
Apache Flink the data streaming rockstar
Apache Flink is a rockstar in real-time data processing. I could whip up insights and answers in the blink of an eye. - SR SYSTEM ENGINEER1B-10B USDIT ServicesReview Source
awesome framework in the market
ideal framework for real time data processing, easy to learn - SENIOR ASSOCIATE1B-10B USDServices (non-Government)Review Source
Scalability on this is off the charts!
It is a high performance tool, does not require a lot of RAM to run. It is very scalable and has the ability to do in-memory SQL on streams.


