DBMS > Atos Standard Common Repository vs. Blazegraph vs. Infobright vs. OrigoDB

System Properties Comparison Atos Standard Common Repository vs. Blazegraph vs. Infobright vs. OrigoDB

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Blazegraph  Xexclude from comparison	Infobright  Xexclude from comparison	OrigoDB  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.	Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	High-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	A fully ACID in-memory object graph database
Primary database model	Document store Key-value store	Graph DBMS RDF store	Relational DBMS	Document store Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.81 Rank #213   Overall #19   Graph DBMS #8   RDF stores	Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	blazegraph.com	ignitetech.com/­softwarelibrary/­infobrightdb	origodb.com
Technical documentation		wiki.blazegraph.com		origodb.com/­docs
Developer	Atos Convergence Creators	Blazegraph	Ignite Technologies Inc.; formerly InfoBright Inc.	Robert Friberg et al
Initial release	2016	2006	2005	2009 under the name LiveDB
Current release	1703	2.1.5, March 2019
License Commercial or Open Source	commercial	Open Source extended commercial license available	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	Open Source
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	C	C#
Server operating systems	Linux	Linux OS X Windows	Linux Windows	Linux Windows
Data scheme	Schema and schema-less with LDAP views	schema-free	yes	yes
Typing predefined data types such as float or date	optional	yes RDF literal types	yes	User defined using .NET types and collections
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	yes		no	no can be achieved using .NET
Secondary indexes	yes	yes	no Knowledge Grid Technology used instead	yes
SQL Support of SQL	no	SPARQL is used as query language	yes	no
APIs and other access methods	LDAP	Java API RESTful HTTP API SPARQL QUERY SPARQL UPDATE TinkerPop 3	ADO.NET JDBC ODBC	.NET Client API HTTP API LINQ
Supported programming languages	All languages with LDAP bindings	.Net C C++ Java JavaScript PHP Python Ruby	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	.Net
Server-side scripts Stored procedures	no	yes	no	yes
Triggers	yes	no	no	yes Domain Events
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding	none	horizontal partitioning client side managed; servers are not synchronized
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	Source-replica replication	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency
Foreign keys Referential integrity	no	yes Relationships in Graphs	no	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes Write ahead log
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes		yes	yes
User concepts Access control	LDAP bind authentication	Security and Authentication via Web Application Container (Tomcat, Jetty)	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	Role based authorization
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More resources
	Atos Standard Common Repository	Blazegraph	Infobright	OrigoDB
Recent citations in the news		Back to the future: Does graph database success hang on query language? 5 March 2018, ZDNet Video: Blazegraph Accelerates Graph Computing with GPUs - High-Performance Computing News Analysis 20 December 2015, insideHPC Harnessing GPUs Delivers a Big Speedup for Graph Analytics 15 December 2015, Datanami This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines 19 August 2023, MarkTechPost Representation Learning on RDF* and LPG Knowledge Graphs 24 September 2020, Towards Data Science provided by Google News

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