https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Sat, 16 May 2026 00:00:00 GMT https://www.youngju.dev/blog/culture/2026-05-16-stream-processing-2026-kafka-streams-flink-sql-risingwave-materialize-arroyo-ksqldb-bytewax-decodable-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-stream-processing-2026-kafka-streams-flink-sql-risingwave-materialize-arroyo-ksqldb-bytewax-decodable-deep-dive.en The 2026 stream processing landscape. Flink 2.0 broke the library-vs-DB boundary with Disaggregated State and Materialized Tables; Kafka Streams 4.0 absorbed queue semantics via Share Groups; RisingWave 2.x and Materialize compute incremental views in real time behind the Postgres wire. Arroyo reimplemented Flink SQL in Rust; Bytewax pulled streaming into the PyData ecosystem. We cover ksqlDB, Apache Beam, Pulsar Functions, Quix, Decodable, Aiven Flink, Confluent Cloud Flink, Estuary Flow, Memphis, Redpanda Connect — paradigms, state management, windowing, exactly-once, CEP, Korean/Japanese adoption. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) stream-processingkafka-streamsflinkrisingwavematerializearroyoksqldbbytewaxdecodablereal-time2026deep-diveenglish https://www.youngju.dev/blog/culture/2026-05-16-stream-processing-2026-kafka-streams-flink-sql-risingwave-materialize-arroyo-ksqldb-bytewax-decodable-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-stream-processing-2026-kafka-streams-flink-sql-risingwave-materialize-arroyo-ksqldb-bytewax-decodable-deep-dive.ja 2026年のストリーム処理地図。Flink 2.0は Disaggregated State と Materialized Tables でライブラリと DB の境界を崩し、Kafka Streams 4.0 は Share Groups でキューも吸収した。RisingWave 2.x と Materialize は Postgres ワイア上で増分ビューをリアルタイムに計算する。Arroyo は Flink SQL を Rust で書き直し、Bytewax は Python で PyData 生態系にストリームを引き込んだ。ksqlDB、Apache Beam、Pulsar Functions、Quix、Decodable、Aiven Flink、Confluent Cloud Flink、Estuary Flow、Memphis、Redpanda Connect まで — パラダイム、状態管理、ウィンドウ、exactly-once、CEP、韓国/日本の採用事例を一気通貫で整理する。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) stream-processingkafka-streamsflinkrisingwavematerializearroyoksqldbbytewaxdecodablereal-time2026deep-dive日本語 https://www.youngju.dev/blog/culture/2026-05-16-stream-processing-2026-kafka-streams-flink-sql-risingwave-materialize-arroyo-ksqldb-bytewax-decodable-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-stream-processing-2026-kafka-streams-flink-sql-risingwave-materialize-arroyo-ksqldb-bytewax-decodable-deep-dive 2026년 스트림 처리 지형도. Flink 2.0이 Disaggregated State와 Materialized Tables로 라이브러리·DB 경계를 허물고, Kafka Streams 4.0은 Share Groups로 Queue까지 흡수했으며, RisingWave 2.x와 Materialize는 Postgres 와이어 위에서 incremental view를 실시간으로 계산한다. Arroyo는 Rust로 Flink SQL을 재구현했고 Bytewax는 Python으로 스트림을 PyData 생태계에 끌어들였다. ksqlDB, Apache Beam, Pulsar Functions, Quix, Decodable, Aiven Flink, Confluent Cloud Flink, Estuary Flow, Memphis, Redpanda Connect까지 — 패러다임·상태 관리·윈도잉·exactly-once·CEP·한국/일본 사례를 한 번에 정리한다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) stream-processingkafka-streamsflinkrisingwavematerializearroyoksqldbbytewaxdecodablereal-time2026deep-dive