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
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
Build, Manage and Deploy AI/ML Systems
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.
Data-Centric Pipelines and Data Versioning
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
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
Cloud-native genomic dataframes and batch computing
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