Comments (1)
mwylde
commented on July 3, 2024
Thanks for checking out Arroyo! Arroyo is able to replace Flink SQL for many use cases. Compared to Flink, arroyo is much faster (5-10x depending on the query), easier to develop against (better error messages, better UI, some simpler SQL semantics) and easier to run (no JVM, designed for fast rescaling/recovery and to run in the cloud and kubernetes).
However, today Flink SQL has more features (for example, we don't currently support all of the joins that Flink does, more connectors, and a much bigger community. I'd take a look our SQL docs and see if the features you need are there. Feel free to open up issues for any features that you need and we can see how difficult they would be and where they fit into our prioritization.
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Related Issues (20)
- The barriers to getting started with rust are too high. Has UDF considered using a language with a lower learning curve like Python or Golang? HOT 1
- Benchmark?
- Maintenance for long running clusters HOT 1
- Invalid URL like s3::https://my-custom-s3/my-bucket/key/path
- Comparisons involving lists cause runtime failure
- publish arroyo v0.10.0 to the crates.io?
- Report error message in helm when required configs are not set
- pkg-config issue is still there in 0.10.1 HOT 1
- API throttle when using GCS as checkpoint backend
- Change checkpoint interval dynamically HOT 1
- Feature request: Kafka record timestamp column in Kafka Source Connector
- Runtime failure when using `source.offset` as `group` when starting a job for the first time HOT 2
- Failed to start test server from cmd, the error is "OS can't spawn worker thread: Operation not permitted (os error 1)" HOT 1
- Register Worker call fails on Kubernetes HOT 2
- Allow to configure worker's IRSA through worker's ServiceAccount annotation
- Arroyo should use a single image in helm HOT 2
- Arroyo throws "This feature is not implemented" when attempting to insert data from a CTE HOT 2
- Kafka source protobuf format
- Support for avro union types HOT 2
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