Archives For NoSQL


Clustrix http://www.clustrix.com/
https://twitter.com/Clustrix
deepdb http://deep.is/
https://twitter.com/DeepIsExploring
marklogic http://www.marklogic.com/
https://twitter.com/marklogic
memsql http://www.memsql.com/
https://twitter.com/memsql
nuoDB http://www.nuodb.com/
https://twitter.com/nuodb
paradigm4 http://www.paradigm4.com/
https://twitter.com/paradigm4
PivotalSQLFire http://www.gopivotal.com/
https://twitter.com/gopivotal
RainStor http://rainstor.com/
https://twitter.com/Rainstor
SkySQL http://www.skysql.com/
https://twitter.com/skysql
TransLattice http://www.translattice.com/
https://twitter.com/TransLattice
voldDB http://voltdb.com/
https://twitter.com/voltdb

Based on the article article from: http://searchdatamanagement.techtarget.com/feature/NoSQL-databases-dent-relational-softwares-data-processing-dominance NoSQL Family NoSQL databases are geared toward managing large sets of varied and frequently updated data,often in distributed systems or the cloud. They avoid the rigid schemas associated with relational databases. But the architectures themselves vary and are separated into four primary

NoSQL Databases Family

NoSQL Databases Family

Document Database Store data elements in document like structures that encode information in formats such as JSON. Common uses include content management and monitoring web and monitoring web and mobile – Couchbase Server, CouchDB, MarkLogic, MongoDB

Graph Database Emphasize connections between data elements, storing related “nodes” in graphs to accelerate¬†querying. Common uses include recommendation engines and geospatial applications –InfniteGraph, Neo4J

Key Value Databases Use a simple data model that pairs a unique key and it’s associated value in storing data elements. Common uses include storing clickstream data and applicaiotn logs. – Aerospike, DynamoDb, Redis, Riak

Wide Column Stores Also called table-style databases-store data across tables that can have very large numbers of columns. Common uses include internet search and other large-scale web applications. – Accumulo, cassandra, HBase, Hypertable, SimpleDB