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DBMS > Atos Standard Common Repository vs. Kdb vs. Microsoft Azure AI Search vs. VelocityDB vs. YDB

System Properties Comparison Atos Standard Common Repository vs. Kdb vs. Microsoft Azure AI Search vs. VelocityDB vs. YDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonVelocityDB  Xexclude from comparisonYDB  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 networksHigh 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)A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Key-value store
Time Series DBMS
Vector DBMS
Search engineGraph DBMS
Object oriented DBMS
Document store
Relational DBMS
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorykx.comazure.microsoft.com/­en-us/­services/­searchvelocitydb.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcode.kx.comlearn.microsoft.com/­en-us/­azure/­searchvelocitydb.com/­UserGuideydb.tech/­en/­docs
DeveloperAtos Convergence CreatorsKx Systems, a division of First Derivatives plcMicrosoftVelocityDB IncYandex
Initial release20162000 infokdb was released 2000, kdb+ in 2003201520112019
Current release17033.6, May 2018V17.x
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC#
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedAny that supports .NETLinux
Data schemeSchema and schema-less with LDAP viewsyesyesyesFlexible Schema (defined schema, partial schema, schema free)
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.yesyesnonono
Secondary indexesyesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLnoSQL-like query language (q)nonoSQL-like query language (YQL)
APIs and other access methodsLDAPHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API.NetRESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
.NetGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnonono
Triggersyesyes infowith viewsnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud serviceActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnoyesno
User concepts infoAccess controlLDAP bind authenticationrights management via user accountsyes infousing Azure authenticationBased on Windows AuthenticationAccess rights defined for Yandex Cloud users
More information provided by the system vendor
Atos Standard Common RepositoryKdbMicrosoft Azure AI SearchVelocityDBYDB
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 RepositoryKdbMicrosoft Azure AI SearchVelocityDBYDB
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