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System AllegroGraph Ontotext
 Name AllegroGraph GraphDB / Ontotext
 Version AllegroGraph 6.4.2 [2018-06-18] 8.5.0 as of 2018-March
 Drawbacks NA NA
 Advantages -Database being explicitly pre-structured
-Data to self-define the schema at the time of ingest
-Able to connect concepts, properties, and entities across multiple databases and without further coding to extract new, actionable business insights from your data
Quick and easy to setup. Performance very fast
 Languages Supported Java, Python, Ruby, Perl, C#, Clojure and Common Lisp NA
 Website www.allegrograph.com,
 XML Support yes no
 JSON Support yes yes
 Brief description -Modern, high-performance, persistent graph database
-Uses efficient memory utilization in combination with disk-based storage, enabling it to scale to billions of quads while maintaining superior performance
-Supports SPARQL, RDFS++ and Prolog reasoning from numerous applications
Graph Database based on RDF. Helps to build a data platform. Native support for text search.Support for a database cluster.
 Database Model Graph Database, A triplestore or RDF store RDF Store, Graph Database
 Technical Documentation franz.com/agraph/support/documentation/current/agraph-introduction.html graphdb.ontotext.com/documentation
 License Commercial commercial. Community edition can be used perpetually
 Cloud-based / SaaS No Amazon AMI available
 Implementation Language Common Lisp NA
 Operating System Supported Windows, Linux, and Mac OS X Linux , OS X, Windows
 Options for Integration / Access API Java, Python, Common Lisp and other APIs Java API , RDF4j API,SPARQL 1.1, GeoSPARQL, GraphQL?
 Consistency Yes Eventual consistency
 Foreign Keys No No
 Streaming Support Yes No
 Analytics Support Yes, AllegroGraph Recognized Among Top 10 Analytics Solution Providers by Pharma Tech Outlook for 2016 Yes. Native text search and probalisitic capabalities
 Data Storage Schema Yes RDF