DBMS > Atos Standard Common Repository vs. Infobright vs. JaguarDB vs. JanusGraph

System Properties Comparison Atos Standard Common Repository vs. Infobright vs. JaguarDB vs. JanusGraph

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Infobright  Xexclude from comparison	JaguarDB  Xexclude from comparison	JanusGraph successor of Titan  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	Performant, highly scalable DBMS for AI and IoT applications	A Graph DBMS optimized for distributed clusters It was forked from the latest code base of Titan in January 2017
Primary database model	Document store Key-value store	Relational DBMS	Key-value store Vector DBMS	Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 0.06 Rank #381   Overall #59   Key-value stores #13   Vector DBMS	Score 2.02 Rank #125   Overall #12   Graph DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	ignitetech.com/­softwarelibrary/­infobrightdb	www.jaguardb.com	janusgraph.org
Technical documentation			www.jaguardb.com/­support.html	docs.janusgraph.org
Developer	Atos Convergence Creators	Ignite Technologies Inc.; formerly InfoBright Inc.	DataJaguar, Inc.	Linux Foundation; originally developed as Titan by Aurelius
Initial release	2016	2005	2015	2017
Current release	1703		3.3 July 2023	0.6.3, February 2023
License Commercial or Open Source	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	Open Source GPL V3.0	Open Source Apache 2.0
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	C	C++ the server part. Clients available in other languages	Java
Server operating systems	Linux	Linux Windows	Linux	Linux OS X Unix Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes	yes
Typing predefined data types such as float or date	optional	yes	yes	yes
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	no
Secondary indexes	yes	no Knowledge Grid Technology used instead	yes	yes
SQL Support of SQL	no	yes	A subset of ANSI SQL is implemented but no views, foreign keys, triggers	no
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	JDBC ODBC	Java API TinkerPop Blueprints TinkerPop Frames TinkerPop Gremlin TinkerPop Rexster
Supported programming languages	All languages with LDAP bindings	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala	Clojure Java Python
Server-side scripts Stored procedures	no	no	no	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	yes depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication	Multi-source replication	yes
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	yes via Faunus, a graph analytics engine
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Eventual Consistency	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes Relationships in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	yes	no
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	rights management via user accounts	User authentification and security via Rexster Graph Server
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Atos Standard Common Repository	Infobright	JaguarDB	JanusGraph successor of Titan
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News			Database Deep Dives: JanusGraph 8 August 2019, ibm.com JanusGraph Picks Up Where TitanDB Left Off 13 January 2017, Datanami From graph db to graph embedding. In 7 simple steps. | by Andy Greatorex 30 July 2020, Towards Data Science Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph 3 October 2019, The New Stack Compose for JanusGraph arrives on Bluemix 15 September 2017, ibm.com provided by Google News

Share this page