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System ElasticSearch Ontotext
 Name ElasticSearch GraphDB / Ontotext
 Version Version 6.4.1 (released in September 2018) 8.5.0 as of 2018-March
 Drawbacks Elasticsearch AMI not available NA
 Advantages Large number of drivers present for integration Quick and easy to setup. Performance very fast
 Languages Supported .Net Groovy Java JavaScript Perl PHP Python Ruby NA
 Website www.elastic.co/­products/­elasticsearch www.graphdb.ontotext.com
 XML Support no no
 JSON Support yes yes
 Brief description Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Graph Database based on RDF. Helps to build a data platform. Native support for text search.Support for a database cluster.
 Database Model Key Value NoSQL Model RDF Store, Graph Database
 Technical Documentation www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html graphdb.ontotext.com/documentation
 License Open Source. Commercial version with HA available with redislabs.com commercial. Community edition can be used perpetually
 Cloud-based / SaaS ElasticSearch Cloud Cluster available from ElasticSearch Amazon AMI available
 Implementation Language C,C++ NA
 Operating System Supported Linux OS X Solaris Windows Linux , OS X, Windows
 Options for Integration / Access API Proprietary protocol using JSON Java API , RDF4j API,SPARQL 1.1, GeoSPARQL, GraphQL?
 Consistency Highly Consistent Eventual consistency
 Foreign Keys No No
 Streaming Support Yes No
 Analytics Support NA Yes. Native text search and probalisitic capabalities
 Data Storage Schema Inverted Index RDF
 Notable Users -- --
 Key Differentiator No known Enterprise Competitor apart from Amazaon Cloud Search --
 Concurrency Yes --
 Partitioning Yes --
 Replication Yes --
 Secondary Indexes Yes --
 SchemaLess Yes --
 SQL Query No --