The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance. 

 Cassandra provides support for Scale out, load balancing, cluster growth, Flexible schema, Key-oriented queries and CAP theorem (Consistency, Availability, Partition tolerance). It is in use at Digg, Facebook, Twitter, Reddit, Rackspace, Cloudkick, Cisco and more companies.

The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance.

Cassandra - Scalable Distributed Database

Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally, so that it can scale to larger data sets and higher query rates as needed.
 
Its features include: 
<ul>
<li>A column-oriented database with various compression schemes such as Run Length, Fixed Bit Length</li>
<li>Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index</li>
<li>Ability to optimize query/execution plan based on query and segment metadata .</li>
<li>Near real time ingestion from Kafka and batch ingestion from Hadoop</li>
<li>SQL like language that supports selection, aggregation, filtering, group by, order by, distinct queries on fact data.</li>
<li>Support for multivalued fields</li>
<li>Horizontally scalable and fault tolerant</li>
</ul>

Pinot is a realtime distributed OLAP datastore, which is used at LinkedIn to deliver scalable real time analytics with low latency. It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally, so that it can scale to larger data sets and higher query rates as needed.

Pinot - A realtime distributed OLAP datastore

Cloudata is Distributed Large scale Structured Data Storage, and open source project implementing Google's Bigtable. It's DBMS(Database Management System), but not Relational DBMS. It can store more than Peta bytes.

Cloudata - Structured Data Storage implementing Google's Bigtable.

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Cassandra - Scalable Distributed Database

Pinot - A realtime distributed OLAP datastore

Cloudata - Structured Data Storage implementing Google's Bigtable.

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Projects

Cassandra - Scalable Distributed Database

Pinot - A realtime distributed OLAP datastore

Cloudata - Structured Data Storage implementing Google's Bigtable.

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License