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 lightweight data processing framework built on DuckDB and 3FS.
A modular implementation of timely dataflow in Rust
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
A Scala API for Apache Beam and Google Cloud Dataflow.
A cluster computing framework for processing large-scale geospatial data
YTsaurus is a scalable and fault-tolerant open-source big data platform.
Apache Hadoop docker image
Apache DataFusion Ballista Distributed Query Engine
Python Stream Processing
A distributed task scheduler for Dask