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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Microsoft Azure AI Search vs. NSDb

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Microsoft Azure AI Search vs. NSDb

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comazure.microsoft.com/­en-us/­services/­searchnsdb.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecture
DeveloperAtos Convergence CreatorsGeoSpockMicrosoft
Initial release201620152017
Current release17032.0, September 2019V1
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptJava, Scala
Server operating systemsLinuxhostedhostedLinux
macOS
Data schemeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes: int, bigint, decimal, string
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 indexesyestemporal, categoricalyesall fields are automatically indexed
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noSQL-like query language
APIs and other access methodsLDAPJDBCRESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
Java
Scala
Server-side scripts infoStored proceduresnononono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service
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 ConsistencyEventual 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 persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per tableyes infousing Azure authentication

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More resources
Atos Standard Common RepositoryGeoSpockMicrosoft Azure AI SearchNSDb
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