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System CouchDB Cassandra (Datastax)
 Version 3.3.5 2.1
 Drawbacks 1 Does not have capabilities present in an RDF data store e.g does not support SparQL Paid Version, License Fees, Support Fees
 Advantages NA DB Failover capability, Enterprise support available
 Website apache.couchdb.org www.datastax.com
 XML Support NA Not Available.Generally not available in NOSQL DB. Well known RDBMS have this feature
 Name CouchDB Cassandra (Datastax)
 Languages Supported .net, C#, Javascript C C# C++ Java Node.js PHP Python Ruby
 JSON Support yes yes
 Brief description Open Source Transactional database with native graph storage and processing 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
 Database Model Property Graph Primarily a NoSQL database
 Technical Documentation docs.microsoft.com/­en-us/­azure/­cosmos-db docs.datastax.com
 License Community license can be run on 1 node.Enterprise License supports multi-node cluster deployment Commercial
 Cloud-based / SaaS Amazon AMI available, On Prem can be installed Virtual Machine Images available in AWS and Azure Marketplace. Available as a Hybrid Cloud SaaS Option - NA
 Implementation Language Java API C,C++
 Operating System Supported Linux , OS X, Windows Linux, OS X,
 Options for Integration / Access API Rest API CQL (Cassandra Query Language is like SQL) Gremlin
 Consistency NA Highly Consistent
 Foreign Keys No No
 Streaming Support No Yes
 Analytics Support No One of the core features is to build timeseries apps
 Data Storage Schema Key Value Store presented as Document DB 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)
 Concurrency -- Yes
 Partitioning -- Yes
 Replication -- Yes
 Secondary Indexes -- Yes
 SchemaLess -- Yes
 SQL Query -- No, but CQL is similar to SQL