Map Reduce
Showing 11 of 11 projects
A high-performance distributed map/reduce system with DAG execution, written in Go, supporting standalone or distributed modes.
A Kubernetes-native, serverless platform for running massively parallel data and streaming jobs with exactly-once semantics.
A high-performance functional programming library for Lua designed with LuaJIT's trace compiler in mind.
A distributed map-reduce framework for parallel computations over large datasets on unreliable computer clusters.
A .NET document database interface that works over any relational database, providing document storage with SQL power.
A Clojure library for writing map-reduce queries that compile to Apache Pig or Cascading, enabling distributed data processing with Clojure syntax.
A high-performance MongoDB client for R, built on libmongoc and jsonlite, supporting aggregation, indexing, and streaming.
A Go library providing efficient, parallel, lazy map, reduce, filter, and other functional operations on sequences with built-in error handling.
An open-source graph database and Prolog implementation written in pure Common Lisp, featuring ACID compliance and master/slave replication.
A Common Lisp interface to MongoDB providing document operations, indexing, map-reduce, and declarative query macros.
A Redis-backed task queue engine for Node.js with advanced task control, worker pools, and eventual consistency.
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