Platform independence
Write your application against a common API. Choose the processing engines that fit your data, infrastructure, and workload as your needs evolve.
Explore the featuresOne pipeline across your data engines
Cross-platform execution
Combine Spark, Flink, PostgreSQL, and Java Streams in one pipeline. Run different steps on different engines without stitching together separate applications by hand.
See pipeline examplesCost-based optimization
Let Wayang compare execution plans across your available engines. Its cost model considers processing and data movement to select a plan for your workload.
Understand the optimizerExtensible architecture
Adapt Wayang to your own processing needs. Add operators and platform integrations through its plugin architecture while keeping application logic separate from engine details.
Learn to add operatorsExplore Apache Wayang
Build a pipeline
Start with working examples, explore the APIs, and review performance results.
Learn from the community
Read project news, technical articles, and experiences from Wayang users.
Find support
Ask the community for help, find commercial providers, or report a security issue.