HBase is the Hadoop database. Think of it as a distributed, scalable Big Data store. Use HBase when you need random, real-time read/write access to your Big Data. The goal of the HBase project is to host very large tables — billions of rows multiplied by millions of columns — on clusters built with commodity hardware. HBase is an open-source, distributed, versioned, column-oriented store modeled a
pipes is a data flow framework developed by tinkerpop . the graph traversal language gremlin is a groovy -based domain-specific language for processing blueprints -enabled graph databases with pipes. since the release of pipes 0.7 on august 1, 2011, much of the functionality in gremlin has been generalized and made available through pipes. this has opened up the door for other jvm languages (e.g.
Bixo Labs shows how to use Solr as a NoSQL solution for big data Many people use the Hadoop open source project to process large data sets because it’s a great solution for scalable, reliable data processing workflows. Hadoop is by far the most popular system for handling big data, with companies using massive clusters to store and process petabytes of data on thousands of servers.Since it emerged
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