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

InfiniDB Community Edition is a scale-up, column-oriented database for data warehousing, analytics, business intelligence and read-intensive applications. InfiniDB's data warehouse columnar engine is multi-terabyte capable and accessed via MySQL.

  <ul><li>column-oriented database</li><li>multi-threaded, scale up processing</li><li>insert, update, delete transaction support</li><li>MySQL front-end integration</li><li>high-performance query support</li><li>Automatic vertical and horizontal partitioning</li><li>High concurrency</li><li>High-speed data loader</li><li>DML support</li><li>Crash recovery</li><li>Performance diagnostics</li><li>BI Tool Compatible</li><li>Logical Data compression</li><li>ALTER TABLE is supported</li><li>Low Maintenance</li><li>No need for indexing</li><li>MVCC design</li>
  </ul>

InfiniDB Community Edition is a scale-up, column-oriented database for data warehousing, analytics, business intelligence and read-intensive applications. InfiniDB's data warehouse columnar engine is multi-terabyte capable and accessed via MySQL.

InfiniDB - Scale-up analytics database engine for data warehousing and  business intelligence

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

Kudu is a storage system for tables of structured data. Kudu provides a combination of fast inserts/updates and efficient columnar scans to enable multiple real-time analytic workloads across a single storage layer. As a new complement to HDFS and Apache HBase, Kudu gives architects the flexibility to address a wider variety of use cases without exotic workarounds.

Kudu - Hadoop storage layer to enable fast analytics on fast data

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HBase - Hadoop database

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Kudu - Hadoop storage layer to enable fast analytics on fast data

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HBase - Hadoop database

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Infobright - The Database for Analytics

Kudu - Hadoop storage layer to enable fast analytics on fast data

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