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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonchDB  Xexclude from comparisonDatabend  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 embedded SQL OLAP Engine powered by ClickHouseAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitySearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#358  Overall
#152  Relational DBMS
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­chdb-io/­chdbgithub.com/­datafuselabs/­databend
www.databend.com
azure.microsoft.com/­en-us/­services/­search
Technical documentationdoc.chdb.iodocs.databend.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsDatabend LabsMicrosoft
Initial release2016202320212015
Current release17031.0.59, April 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
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 languageJavaRust
Server operating systemsLinuxserver-lesshosted
Linux
macOS
hosted
Data schemeSchema 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.yesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoClose to ANSI SQL (SQL/JSON + extensions)yesno
APIs and other access methodsLDAPCLI Client
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept, user rolesyes infousing Azure authentication

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More resources
Atos Standard Common RepositorychDBDatabendMicrosoft Azure AI Search
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