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Distributed Stream Processing Framework
A distributed stream processing framework that uses Apache Kafka for messaging and Apache Hadoop YARN for fault tolerance, processor isolation, security, and resource management. Samza provides a simple API for building stateful stream processing applications.
Explore similar tools in the Stream Processing category that complement Apache Samza for your data engineering projects.
Distributed Event Streaming Platform
Distributed event streaming platform capable of handling trillions of events a day. Used for building real-time streaming data pipelines and applications with high-throughput, fault-tolerance, and scalability.
Stream Processing Framework
Framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Known for high performance in streaming data processing with exactly-once semantics.
Real-Time Computation System
Real-time computation system making it easy to process unbounded streams of data reliably. Fast and scalable distributed real-time computation framework for stream processing.