Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
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.
- java
- hazelcast
- in-memory
- big-data
A unified ecosystem and workspace for large-scale federated learning, bridging the gap between centralized model evolution and decentralized edge intelligence.
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
- distributed-computing
- map-reduce
- golang
- distributed-systems
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
Apache DataFusion Ballista Distributed Query Engine
- arrow
- big-data
- dataframe
- olap
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
- apache-iceberg
- apache-spark
- data-engineering
- delta-lake
Python MapReduce library written in Cython. Visit us in #hadoopy on freenode. See the link below for documentation and tutorials.
Distributed batch data processing framework
Parallel Workflow extension for Rake, runs on multicores, clusters, clouds.
- ruby
- rake
- pwrake
- parallel
Common Lisp distributed computation framework implemented using Swank Client
Web application for distributed compute analysis of Archive-It web archive collections.