DBMS > Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. Titan

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure SQL Database vs. Titan

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure SQL Database formerly SQL Azure  Xexclude from comparison	Titan  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.		Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Database as a Service offering with high compatibility to Microsoft SQL Server	Titan is a Graph DBMS optimized for distributed clusters.
Primary database model	Document store Key-value store	Relational DBMS	Graph DBMS
Secondary database models		Document store Graph DBMS Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 86.01 Rank #15   Overall #10   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­sql-database	titan.thinkaurelius.com
Technical documentation		docs.microsoft.com/­en-us/­azure/­azure-sql	github.com/­thinkaurelius/­titan/­wiki
Developer	Atos Convergence Creators	Microsoft	Aurelius, owned by DataStax
Initial release	2016	2010	2012
Current release	1703	V12
License Commercial or Open Source	commercial	commercial	Open Source Apache license, version 2.0
Cloud-based only Only available as a cloud service	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++	Java
Server operating systems	Linux	hosted	Linux OS X Unix Windows
Data scheme	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	optional	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	yes
Secondary indexes	yes	yes	yes
SQL Support of SQL	no	yes	no
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	Java API TinkerPop Blueprints TinkerPop Frames TinkerPop Gremlin TinkerPop Rexster
Supported programming languages	All languages with LDAP bindings	.Net C# Java JavaScript (Node.js) PHP Python Ruby	Clojure Java Python
Server-side scripts Stored procedures	no	Transact SQL	yes
Triggers	yes	yes	yes
Partitioning methods Methods for storing different data on different nodes	Sharding cell division		yes via pluggable storage backends
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes, with always 3 replicas available	yes
MapReduce Offers an API for user-defined Map/Reduce methods		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 Immediate Consistency
Foreign keys Referential integrity	no	yes	yes Relationships in graph
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	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
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	User authentification and security via Rexster Graph Server
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More resources
	Atos Standard Common Repository	Microsoft Azure SQL Database formerly SQL Azure	Titan
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