Apache Spark - A unified analytics engine for large-scale data processing
- python
- scala
- r
- java
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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.
Apache Beam is a unified programming model for Batch and Streaming data processing.
- python
- java
- big-data
- beam
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
Run MapReduce jobs on Hadoop or Amazon Web Services
A cluster computing framework for processing large-scale geospatial data
- cluster-computing
- spatial-sql
- geospatial
- spatial-analysis
Python Stream Processing
- python
- stream-processing
- rust
- data-engineering
Distributed Stream Processing
- stream-processing
- stream-processor
- stream-processing-engine
- pony-language
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
The repository host gives no description.
- hacktoberfest
Phoebus is a distributed framework for large scale graph processing written in Erlang.
Standard API for Distributed Data Structures in R
Distribute work across machines using the lparallel API.
Serverless ML Framework
Distributed batch data processing framework
Parallel Workflow extension for Rake, runs on multicores, clusters, clouds.
- ruby
- rake
- pwrake
- parallel
The core libraries of the teknek stream processing platform