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DBMS > Atos Standard Common Repository vs. Microsoft Azure AI Search vs. openGemini vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure AI Search vs. openGemini vs. SiteWhere

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonopenGemini  Xexclude from comparisonSiteWhere  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 networksSearch-as-a-service for web and mobile app developmentAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Search engineTime Series DBMSTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#58  Overall
#7  Search engines
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­services/­searchwww.opengemini.org
github.com/­openGemini
github.com/­sitewhere/­sitewhere
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.opengemini.org/­guidesitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsMicrosoftHuawei and openGemini communitySiteWhere
Initial release2016201520222010
Current release1703V11.1, July 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemsLinuxhostedLinux
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateoptionalyesInteger, Float, Boolean, Stringyes
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsLDAPRESTful HTTP APIHTTP RESTHTTP REST
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoImplicit feature of the cloud serviceShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyesselectable replication factor infobased on HBase
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonono
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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationyes infousing Azure authenticationAdministrators and common users accountsUsers with fine-grained authorization concept

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More resources
Atos Standard Common RepositoryMicrosoft Azure AI SearchopenGeminiSiteWhere
Recent citations in the news

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, azure.microsoft.com

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard)
2 April 2024, azure.microsoft.com

Boost your AI with Azure's new Phi model, streamlined RAG, and custom generative AI models
22 August 2024, azure.microsoft.com

From code to production: New ways Azure helps you build transformational AI experiences
21 May 2024, azure.microsoft.com

Microsoft boosts Azure AI Search with more storage and support for big RAG apps
5 April 2024, VentureBeat

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5 September 2024, Analytics Insight

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