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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHeroic  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 networksTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Time Series DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­search
Technical documentationspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsSpotifyMicrosoft
Initial release201620142015
Current release1703V1
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinuxhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyes
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 indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonono
APIs and other access methodsLDAPHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes 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 configurationEventual Consistency
Immediate Consistency
Immediate 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 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.yesnono
User concepts infoAccess controlLDAP bind authenticationyes infousing Azure authentication

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More resources
Atos Standard Common RepositoryHeroicMicrosoft Azure AI Search
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