HBase provides support to handle BigTable - billions of rows X millions of columns. It is a scalable, distributed, versioned, column-oriented store modeled after Google's Bigtable and runs on top of HDFS (Hadoop Distributed Filesystem). It features compression, in-memory operation per-column. Data could be replicated between the nodes. HBase is used in Facebook and Twitter.

HBase -  Hadoop database

MongoDB (from "humongous") is a scalable, high-performance, open source, dynamic-schema, document-oriented database. MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems. MongoDB runs well on Amazon EC2. MongoDB uses BSON as the data storage and network transfer format for "documents". BSON is a binary encoded serialization of JSON-like documents. MongoDB could be accessed from programming language C, C++, Java, PHP, Python and Ruby. 
 It supports: 
 <UL>
	<LI>DBA operations from the shell</LI>
	<LI>Sharding</LI>
	<LI>Replication</LI>
	<LI>Security</LI>
	<LI>Backup</LI>
	<LI>Database Profiler</LI>
	<LI>Full Text Search</LI> 
 </UL>

MongoDB (from "humongous") is a scalable, high-performance, open source, dynamic-schema, document-oriented database. MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems.

MongoDB - NoSQL Document Store Database

Apache CouchDB is a document-oriented database that can be queried and indexed in a MapReduce fashion using JavaScript. CouchDB also offers incremental replication with bi-directional conflict detection and resolution. CouchDB provides a RESTful JSON API than can be accessed from any environment that allows HTTP requests. There are myriad third-party client libraries that make this even easier from your programming language of choice. CouchDB’s built in Web administration console speaks directly to the database using HTTP requests issued from your browser.

Apache CouchDB is a document-oriented database that can be queried and indexed in a MapReduce fashion using JavaScript. CouchDB also offers incremental replication with bi-directional conflict detection and resolution.

CouchDB - A Database for the Web

Infobright combines a columnar database with our Knowledge Grid architecture to deliver a self-managing, self-tuning database optimized for analytics. Infobright eliminates the need to create indexes, partition data, or do any manual tuning to achieve fast response for queries and reports. Its features include:
 <ul>
	<li>
		Ideal for data volumes up to 50TB</li>
	<li>
		Market-leading data compression (from 10:1 to over 40:1), which drastically reduces I/O (improving query performance) and results in significantly less storage than alternative solutions</li>
	<li>
		No licensing fees</li>
	<li>
		Fast response times for ad hoc analytic queries</li>
	<li>
		Query and load performance remains constant as the size of the database grows</li>
	<li>
		No requirement for specific schemas, e.g. Star schema</li>
	<li>
		No requirement for materialized views, complex data partitioning strategies, or indexing</li>
	<li>
		Simple to implement and manage, requiring little administration</li>
	<li>
		Reduction in data warehouse capital and operational expenses by reducing the number of servers, the amount of storage needed and their associated maintenance costs, and a significant reduction in administrative costs</li>
	<li>
		Runs on low cost, off-the-shelf hardware</li>
	<li>
		Is compatible with major Business Intelligence tools such as Pentaho, Jaspersoft, Cognos, Business Objects, and others</li>
</ul>

Infobright combines a columnar database with our Knowledge Grid architecture to deliver a self-managing, self-tuning database optimized for analytics. Infobright eliminates the need to create indexes, partition data, or do any manual tuning to achieve fast response for queries and reports. 

Infobright - The Database for Analytics

Raven is an document database for the .NET/Windows platform. Raven offers a flexible data model design to fit the needs of real world systems. Raven stores schema-less JSON documents, allow you to define indexes using Linq queries and focus on low latency and high performance. Its features include:
 <ul><li>Scalable infrastructure: Raven builds on top of existing, proven and scalable infrastructure </li> <li>Simple Windows configuration: Raven is simple to setup and run on windows as either a service or IIS7 website </li> <li>Transactional: Raven support System.Transaction with ACID transactions. If you put data in it, that data is going to stay there </li> <li>Map/Reduce: Easily define map/reduce indexes with Linq queries </li> <li>.NET Client API: Raven comes with a fully functional .NET client API which implements Unit of Work and much more </li> <li>RESTful: Raven is built around a RESTful API </li> </ul>

Raven is an document database for the .NET/Windows platform. Raven offers a flexible data model design to fit the needs of real world systems. Raven stores schema-less JSON documents, allow you to define indexes using Linq queries and focus on low latency and high performance.

RavenDB - NoSQL Database .NET

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HBase - Hadoop database

MongoDB - NoSQL Document Store Database

CouchDB - A Database for the Web

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RavenDB - NoSQL Database .NET

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HBase - Hadoop database

MongoDB - NoSQL Document Store Database

CouchDB - A Database for the Web

Infobright - The Database for Analytics

RavenDB - NoSQL Database .NET

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