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DBMS > Atos Standard Common Repository vs. Fauna vs. IBM Db2 Event Store vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. Fauna vs. IBM Db2 Event Store vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonIBM Db2 Event Store  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 networksFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Distributed Event Store optimized for Internet of Things use casesSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Search engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfauna.comwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.fauna.comwww.ibm.com/­docs/­en/­db2-event-storelearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsFauna, Inc.IBMMicrosoft
Initial release2016201420172015
Current release17032.0V1
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC and C++
Server operating systemsLinuxhostedLinux infoLinux, macOS, Windows for the developer additionhosted
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeno
APIs and other access methodsLDAPRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning infoconsistent hashingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationActive-active shard replicationyes 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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
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 authenticationIdentity management, authentication, and access controlfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
Atos Standard Common RepositoryFauna infopreviously named FaunaDBIBM Db2 Event StoreMicrosoft Azure AI Search
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