Compare Flink, Spark Streaming, Kafka Streams and Storm for the right use case
Data streaming and time-based reasoning applications are confronted with both simple and complex sets of challenges. Business requirements determine how data should be processed and helps evaluate which stream processing engines are the best fit for the business purpose. Other determining factors include return on investment, its ability to be applied across multiple use cases, and it’s level of maturity for an enterprise-wide adoption.
Read this whitepaper to:
- Address stream processing engine challenges through informed decision making
- Understand technology considerations when evaluating stream processing engines
- Learn about the operational considerations while evaluating streaming engines