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DBMS > Atos Standard Common Repository vs. Databend vs. GBase vs. Kdb vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. Databend vs. GBase vs. Kdb vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabend  Xexclude from comparisonGBase  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure AI Search  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 networksAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.High performance Time Series DBMSSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
Vector DBMS
Search engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­datafuselabs/­databend
www.databend.com
www.gbase.cnkx.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.databend.comcode.kx.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsDatabend LabsGeneral Data Technology Co., Ltd.Kx Systems, a division of First Derivatives plcMicrosoft
Initial release2016202120042000 infokdb was released 2000, kdb+ in 20032015
Current release17031.0.59, April 2023GBase 8a, GBase 8s, GBase 8c3.6, May 2018V1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC, Java, Pythonq
Server operating systemsLinuxhosted
Linux
macOS
LinuxLinux
OS X
Solaris
Windows
hosted
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.yesnoyesyesno
Secondary indexesyesnoyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoyesStandard with numerous extensionsSQL-like query language (q)no
APIs and other access methodsLDAPCLI Client
JDBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Rust
C#C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functionsno
Triggersyesnoyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonehorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACIDnono
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.yesyesno
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept, user rolesyesrights management via user accountsyes infousing Azure authentication
More information provided by the system vendor
Atos Standard Common RepositoryDatabendGBaseKdbMicrosoft Azure AI Search
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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Atos Standard Common RepositoryDatabendGBaseKdbMicrosoft Azure AI Search
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