Additional common features not yet part of the Beam model

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 :