Additional common features not yet part of the Beam model
| Drain |
|---|
| Checkpoint |
| Key-ordered delivery |
| 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 |
|---|
Partially : Dataflow has a native drain operation, but it does not work in the presence of event time timer loops. Final implemention pending model support. | Partially : Flink supports taking a "savepoint" of the pipeline and shutting the pipeline down after its completion. | : | : | : | : | : | : | |
No : | Partially : Flink has a native savepoint capability. | Partially : Spark has a native savepoint capability. | No : not implemented | Partially : Samza has a native checkpoint capability. | : | : | : | |
Partially : Dataflow performs different shuffling algorithms for batch and streaming. Dataflow guarantees key-ordered delivery in streaming, though not in batch. | Partially : Flink may perform different shuffling algorithms for batch and streaming. Flink guarantees key-ordered delivery in streaming, though not in batch. | Unverified : | Unverified : | Unverified : | Partially : Samza may perform different shuffling algorithms for batch and streaming. Samza guarantees key-ordered delivery in streaming, though not in batch. | Unverified : | Unverified : | Unverified : |
Last updated on 2024/11/14
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