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Scalable Stream Processing
Extension of Apache Spark API enabling scalable, high-throughput, fault-tolerant processing of live data streams. Integrated within Spark ecosystem for complex real-time data processing tasks.
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.