A flexible framework of neural networks for deep learning
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
The Koç University deep learning framework implemented in Julia by Deniz Yuret and collaborators. It supports GPU operation and automatic differentiation using dynamic computational graphs for models defined in plain Julia.
Scalable PostgreSQL for multi-tenant and real-time workloads
An engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time.
A Hadoop native SQL query engine that combines the key technological advantages of MPP database with the scalability and convenience of Hadoop
Kafka Monitor is a framework to implement and execute long-running kafka system tests in a real cluster
Apache Kylin is an open source Distributed Analytics Engine, contributed by eBay Inc., provides SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets
A lightweight, modular, and scalable deep learning framework.
Apache Samza is a distributed stream processing framework
Apache Accumulo is a sorted, distributed key/value store that provides robust, scalable data storage and retrieval
Apache Mesos is a cluster manager that provides efficient resource isolation and sharing across distributed applications, or frameworks
ClickHouse is a free analytic DBMS for big data.
Terrapin is a low latency serving system providing random access over large data sets, generated by Hadoop jobs and stored on HDFS clusters
A customisable 3D platform for agent-based AI research
ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services
Deploy Apache YARN Applications Using Apache Mesos
A distributed, parallel C++ query engine that lets you analyze, transform and combine data stored in Apache Hadoop clusters
A modular scientific software framework. It provides all the functionalities needed to deal with big data processing, statistical analysis, visualisation and storage. It is mainly written in C++ but integrated with other languages such as Python and R.
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems
Universal data ingestion framework for Hadoop.
The SpliceSQL Engine
Parquet-MR contains the java implementation of the Parquet format
An open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.
A realtime distributed OLAP datastore
Columnar store for analytics with Postgres, developed by Citus Data
Apache Kudu completes Hadoop's storage layer to enable fast analytics on fast data
Build and scale real-time data applications as easily as writing a Python script
LinkedIn's previous generation Kafka to HDFS pipeline.
A webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop.