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System AWS Aurora AllegroGraph
 Name AWS Aurora AllegroGraph
 Version Version 4.2.8 AllegroGraph 6.4.2 [2018-06-18]
 Drawbacks NA NA
 Advantages Managed RDBMS from AWS -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
 Website aws.amazon.com/rds/aurora/ www.allegrograph.com,
www.franz.com/agraph/allegrograph
 Languages Supported Content Management Interoperability Services (CMIS) Java, Python, Ruby, Perl, C#, Clojure and Common Lisp
 JSON Support yes yes
 XML Support no yes
 Brief description Aurora is available as part of the Amazon Relational Database Service (RDS). Although it is a proprietary technology it offers MySQL compatible service since its release . This was made PostgreSQL compatible since October 2017 -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
 Database Model Relational Database Graph Database, A triplestore or RDF store
 Technical Documentation https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Overview.html franz.com/agraph/support/documentation/current/agraph-introduction.html
 License Commercial Commercial
 Cloud-based / SaaS SaaS Service from AWS No
 Implementation Language NA Common Lisp
 Operating System Supported Not Applicable as its managed by AWS Windows, Linux, and Mac OS X
 Options for Integration / Access API Restful HTTP Java, Python, Common Lisp and other APIs
 Consistency NA Yes
 Foreign Keys Yes No
 Streaming Support Yes Yes
 Data Storage Schema NA Yes
 Analytics Support NA Yes, AllegroGraph Recognized Among Top 10 Analytics Solution Providers by Pharma Tech Outlook for 2016
 Notable Users NA --
 Key Differentiator Supports MySQL as a SaaS service (Inno Db Engine). Disk Space provisioning done in 10 GB chunks automatically upto 64 TB. --
 Concurrency Yes --
 Partitioning No --
 Replication Yes --
 Secondary Indexes Yes based on secondary indexes using Solr --
 SchemaLess Yes --
 SQL Query No --