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System Cassandra (Datastax) Hive
 Version 2.1 3.1.2
 Drawbacks Paid Version, License Fees, Support Fees Can run only on Hadoop with mapreduce
 Advantages DB Failover capability, Enterprise support available A file system can be loaded to a Hive data store AS-IS and can be queried using SQL
 Website www.datastax.com https://hive.apache.org
 XML Support Not Available.Generally not available in NOSQL DB. Well known RDBMS have this feature no
 Name Cassandra (Datastax) --
 Languages Supported C C# C++ Java Node.js PHP Python Ruby --
 JSON Support yes yes
 Brief description DataStax was built on the open source NoSQL database Apache Cassandra. Cassandra was initially developed internally at Facebook to handle large data sets across multiple servers. It was released as an Apache open source project in 2008 The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive
 Database Model Primarily a NoSQL database Tabular Data Model
 Technical Documentation docs.datastax.com --
 License Commercial --
 Cloud-based / SaaS Virtual Machine Images available in AWS and Azure Marketplace. Available as a Hybrid Cloud SaaS Option - NA --
 Implementation Language C,C++ C,C++
 Operating System Supported Linux, OS X, Linux, OS X,
 Options for Integration / Access API CQL (Cassandra Query Language is like SQL) Gremlin -
 Consistency Highly Consistent Highly Consistent
 Foreign Keys No No
 Streaming Support Yes Yes
 Analytics Support One of the core features is to build timeseries apps --
 Data Storage Schema Key Value Column Family NoSQL DB --
 Notable Users Samsung Smartthings, ING Vysya , Safeway -
 Key Differentiator Graph DB built natively on top of the core NoSQL Column Store. Graph and NoSQL component share the same core. Enterprise version of Cassandra supports HighAvailability (HA) Probably most Widely used reporting database in big data ecosystem . Has a web front end
 Concurrency Yes Yes
 Partitioning Yes Yes
 Replication Yes Yes
 Secondary Indexes Yes Yes
 SchemaLess Yes --
 SQL Query No, but CQL is similar to SQL No