How do refinements relate?
| Discarding |
|---|
| Accumulating |
| Google Cloud Dataflow | Apache Flink | Apache Spark (RDD/DStream based) | Apache Spark Structured Streaming (Dataset based) | Apache Samza | Apache Nemo | Hazelcast Jet | Twister2 | Python Direct FnRunner | Go Direct Runner |
|---|
Yes : fully supported | Yes : fully supported | Yes : fully supported Spark streaming natively discards elements after firing. | Partially : fully supported in batch mode | Yes : fully supported | Yes : fully supported | Yes : fully supported | Yes : fully supported |
Yes : fully supported Requires that the accumulated pane fits in memory, after being passed through the combiner (if relevant) | Yes : fully supported | No | No | Yes : fully supported | Yes : fully supported | Yes : fully supported | Yes : fully supported |
Last updated on 2024/04/16
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