Displaying 1 to 10 from 13 results

Hue - The open source Apache Hadoop UI


Hue is a Web application for interacting with Apache Hadoop. It supports a FileBrowser for accessing HDFS, JobBrowser for accessing MapReduce jobs (MR1/MR2-YARN), Job Designer for creating MapReduce/Streaming/Java jobs, HBase Browser for exploring and modifying HBase tables and data, Oozie App for submitting and scheduling workflows and bundles, A Pig/HBase/Sqoop2 shell, Beeswax application for executing Hive queries, Search app for querying Solr and Solr Cloud.

Hyracks - Data parallel platform to run data-intensive jobs on a cluster of shared-nothing machine


Hyracks is a data-parallel runtime platform designed to perform data-processing tasks on large amounts of data using large clusters of shared-nothing commodity machines.

Presto - Distributed SQL query engine for big data


Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. It allows querying data from relational / nosql databases. A single Presto query can combine data from multiple sources, allowing for analytics across your entire organization. It is developed by Facebook.

Spark - Fast Cluster Computing


Apache Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write. To run programs faster, Spark offers a general execution model that can optimize arbitrary operator graphs, and supports in-memory computing, which lets it query data faster than disk-based engines like Hadoop.

Cascalog - Data processing on Hadoop


Cascalog is a fully-featured data processing and querying library for Clojure or Java. The main use cases for Cascalog are processing "Big Data" on top of Hadoop or doing analysis on your local computer. Cascalog is a replacement for tools like Pig, Hive, and Cascading and operates at a significantly higher level of abstraction than those tools.

Apache REEF - a stdlib for Big Data


Apache REEF (Retainable Evaluator Execution Framework) is a library for developing portable applications for cluster resource managers such as Apache Hadoop YARN or Apache Mesos. For example, Microsoft Azure Stream Analytics is built on REEF and Hadoop.

StratoSphere - Cloud Computing Framework for Big Data Analytics


The Stratosphere System is an open-source cluster/cloud computing framework for Big Data analytics. It comprises of An extensible higher level language (Meteor) to quickly compose queries for common and recurring use cases, A parallel programming model (PACT, an extension of MapReduce) to run user-defined operations, An efficient massively parallel runtime (Nephele) for fault tolerant execution of acyclic data flows.

Shark - Hive on Spark


Shark is an open source distributed SQL query engine for Hadoop data. It brings state-of-the-art performance and advanced analytics to Hive users. It runs Hive queries up to 100x faster in memory, or 10x on disk. it is a large-scale data warehouse system for Spark designed to be compatible with Apache Hive.

Calliope - Bridge between Cassandra and Spark framework


Calliope provides a bridge between Cassandra and Spark framework allowing you to create those magical, realtime bigdata apps with ease. It is a library providing an interface to consume data from Cassandra to spark and store RDDs from Spark to Cassandra.

Postgres-XL - Scalable Open Source PostgreSQL-based Database Cluster


Postgres-XL is a horizontally scalable open source SQL database cluster, flexible enough to handle varying database workloads like OLTP, Business Intelligence requiring MPP parallelism, Key value store, GIS Geospatial and lot more.