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Kubernetes-native platform to run massively parallel data/streaming jobs
Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve
Apache Heron (Incubating) is a realtime, distributed, fault-tolerant stream processing engine from Twitter
Apache DataFusion Ballista Distributed Query Engine
High Throughput Real-time Stream Processing Framework
The main features of caskdata/tigon are: Distributed Frameworks, Streaming Engines.
Projects with overlapping indexed features include: numaproj/numaflow — Kubernetes-native platform to run massively parallel data/streaming jobs. apache/flink — Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite… apache/incubator-heron — Apache Heron (Incubating) is a realtime, distributed, fault-tolerant stream processing engine from Twitter. apache/incubator-s4 — Mirror of Apache S4. apache/samza — Mirror of Apache Samza. apache/arrow-ballista — Apache DataFusion Ballista Distributed Query Engine.