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System AllegroGraph AWS Aurora
 Name AllegroGraph AWS Aurora
 Version AllegroGraph 6.4.2 [2018-06-18] Version 4.2.8
 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
Managed RDBMS from AWS
 Website www.allegrograph.com,
 Languages Supported Java, Python, Ruby, Perl, C#, Clojure and Common Lisp Content Management Interoperability Services (CMIS)
 JSON Support yes yes
 XML Support yes no
 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
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
 Database Model Graph Database, A triplestore or RDF store Relational Database
 Technical Documentation franz.com/agraph/support/documentation/current/agraph-introduction.html https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Overview.html
 License Commercial Commercial
 Cloud-based / SaaS No SaaS Service from AWS
 Implementation Language Common Lisp NA
 Operating System Supported Windows, Linux, and Mac OS X Not Applicable as its managed by AWS
 Options for Integration / Access API Java, Python, Common Lisp and other APIs Restful HTTP
 Consistency Yes NA
 Foreign Keys No Yes
 Streaming Support Yes Yes
 Data Storage Schema Yes NA
 Analytics Support Yes, AllegroGraph Recognized Among Top 10 Analytics Solution Providers by Pharma Tech Outlook for 2016 NA
 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