Apache Spark - A unified analytics engine for large-scale data processing
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- scala
- r
- java
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Apache Spark - A unified analytics engine for large-scale data processing
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
Parallel computing with task scheduling
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.
Apache Ignite
A cluster computing framework for processing large-scale geospatial data
Apache DataFusion Ballista Distributed Query Engine
Python Stream Processing
A distributed task scheduler for Dask
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
Standard API for Distributed Data Structures in R
Distributed batch data processing framework
Tuple MapReduce for Hadoop: Hadoop API made easy