Apache Spark - A unified analytics engine for large-scale data processing
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Apache Spark - A unified analytics engine for large-scale data processing
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
Apache Beam is a unified programming model for Batch and Streaming data processing.
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
A cluster computing framework for processing large-scale geospatial data
Python Stream Processing
Distributed Stream Processing
Phoebus is a distributed framework for large scale graph processing written in Erlang.
Distribute work across machines using the lparallel API.
Serverless ML Framework
Distributed batch data processing framework