Alternatives to Flink
6 alternatives found
Apache Flink is a distributed stream processing framework for stateful computations over unbounded and bounded data streams, developed at TU Berlin and open-sourced in 2014. Unlike Spark Structured Streaming (which processes micro-batches), Flink is a true streaming engine — it processes each event as it arrives with millisecond latency and maintains state across events using managed, fault-tolerant state backends (RocksDB, heap memory).
Apache Spark
More mature ecosystem and easier to learn — Structured Streaming for near-real-time
Apache Kafka
Kafka Streams for simpler stateful stream processing within the Kafka ecosystem
Apache Storm
Older streaming framework — simpler but less feature-rich than Flink
Bytewax
Python-native stream processing framework — easier for Python teams than Flink's Java API
RisingWave
Postgres-compatible streaming database — SQL-first alternative to Flink
Materialize
Streaming SQL database — Postgres wire protocol for real-time materialized views
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