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DBMS > Atos Standard Common Repository vs. GeoMesa vs. Microsoft Azure AI Search vs. Pinecone

System Properties Comparison Atos Standard Common Repository vs. GeoMesa vs. Microsoft Azure AI Search vs. Pinecone

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPinecone  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 networksGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Search-as-a-service for web and mobile app developmentA managed, cloud-native vector database
Primary database modelDocument store
Key-value store
Spatial DBMSSearch engineVector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchwww.pinecone.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.pinecone.io/­docs/­overview
DeveloperAtos Convergence CreatorsCCRi and othersMicrosoftPinecone Systems, Inc
Initial release2016201420152019
Current release17035.0.0, May 2024V1
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScala
Server operating systemsLinuxhostedhosted
Data schemeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateoptionalyesyesString, Number, Boolean
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 indexesyesyesyes
SQL infoSupport of SQLnononono
APIs and other access methodsLDAPRESTful HTTP APIRESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisiondepending on storage layerSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layeryes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono
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.yesdepending on storage layernono
User concepts infoAccess controlLDAP bind authenticationyes infodepending on the DBMS used for storageyes infousing Azure authentication

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More resources
Atos Standard Common RepositoryGeoMesaMicrosoft Azure AI SearchPinecone
DB-Engines blog posts

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