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DBMS > Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Kdb vs. Microsoft Azure AI Search vs. VelocityDB

System Properties Comparison Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Kdb vs. Microsoft Azure AI Search vs. VelocityDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonVelocityDB  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 networksEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.High performance Time Series DBMSSearch-as-a-service for web and mobile app developmentA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMS
Vector DBMS
Search engineGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgresql.fastware.comkx.comazure.microsoft.com/­en-us/­services/­searchvelocitydb.com
Technical documentationwww.postgresql.fastware.com/­product-manualscode.kx.comlearn.microsoft.com/­en-us/­azure/­searchvelocitydb.com/­UserGuide
DeveloperAtos Convergence CreatorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyKx Systems, a division of First Derivatives plcMicrosoftVelocityDB Inc
Initial release20162000 infokdb was released 2000, kdb+ in 200320152011
Current release1703Fujitsu Enterprise Postgres 14, January 20223.6, May 2018V17.x
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCqC#
Server operating systemsLinuxLinux
Windows
Linux
OS X
Solaris
Windows
hostedAny that supports .NET
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesyesnono
Secondary indexesyesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoyesSQL-like query language (q)nono
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API.Net
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
.Net
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsnono
Triggersyesyesyes infowith viewsnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionpartitioning by range, list and by hashhorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardrights management via user accountsyes infousing Azure authenticationBased on Windows Authentication
More information provided by the system vendor
Atos Standard Common RepositoryFujitsu Enterprise PostgresKdbMicrosoft Azure AI SearchVelocityDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Atos Standard Common RepositoryFujitsu Enterprise PostgresKdbMicrosoft Azure AI SearchVelocityDB
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