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DBMS > Atos Standard Common Repository vs. Kinetica vs. Microsoft Azure AI Search vs. Stardog

System Properties Comparison Atos Standard Common Repository vs. Kinetica vs. Microsoft Azure AI Search vs. Stardog

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonStardog  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.kinetica.comazure.microsoft.com/­en-us/­services/­searchwww.stardog.com
Technical documentationdocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchdocs.stardog.com
DeveloperAtos Convergence CreatorsKineticaMicrosoftStardog-Union
Initial release2016201220152010
Current release17037.1, August 2021V17.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++Java
Server operating systemsLinuxLinuxhostedLinux
macOS
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnonono infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesAll languages with LDAP bindingsC++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
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.yesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and roles on table levelyes infousing Azure authenticationAccess rights for users and roles

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More resources
Atos Standard Common RepositoryKineticaMicrosoft Azure AI SearchStardog
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