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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. Citus vs. Microsoft Azure SQL Database

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. Citus vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.citusdata.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperCambridge SemanticsAtos Convergence CreatorsMicrosoft
Initial release2018201620102010
Current release2.3, January 202117038.1, December 2018V12
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsLinuxLinuxLinuxhosted
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateoptionalyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyes infospecific XML type available, but no XML query functionalityyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infostandard, with numerous extensionsyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
All languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Transact SQL
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesSource-replica replication infoother methods possible by using 3rd party extensionsyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBAtos Standard Common RepositoryCitusMicrosoft Azure SQL Database infoformerly SQL Azure
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