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26th October 2020, Monday
 
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System Cassandra (Datastax) Neo4j
 Version 2.1 3.3.5
 Drawbacks Paid Version, License Fees, Support Fees 1 Does not have capabilities present in an RDF data store e.g does not support SparQL
 Advantages DB Failover capability, Enterprise support available NA
 Website www.datastax.com www.neo4j.com
 XML Support Not Available.Generally not available in NOSQL DB. Well known RDBMS have this feature NA
 Name Cassandra (Datastax) Neo4j
 Languages Supported C C# C++ Java Node.js PHP Python Ruby .net, C#, Javascript
 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 Open Source Transactional database with native graph storage and processing
 Database Model Primarily a NoSQL database Property Graph
 Technical Documentation docs.datastax.com docs.microsoft.com/­en-us/­azure/­cosmos-db
 License Commercial Community license can be run on 1 node.Enterprise License supports multi-node cluster deployment
 Cloud-based / SaaS Virtual Machine Images available in AWS and Azure Marketplace. Available as a Hybrid Cloud SaaS Option - NA Amazon AMI available, On Prem can be installed
 Implementation Language C,C++ Java API
 Operating System Supported Linux, OS X, Linux , OS X, Windows
 Options for Integration / Access API CQL (Cassandra Query Language is like SQL) Gremlin Rest API, Java , TinkerPop
 Consistency Highly Consistent NA
 Foreign Keys No No
 Streaming Support Yes No
 Analytics Support One of the core features is to build timeseries apps Support for GraphQL
 Data Storage Schema Key Value Column Family NoSQL DB Property Graph
 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 --