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DBMS > Atos Standard Common Repository vs. Fauna vs. Microsoft Azure Synapse Analytics vs. VictoriaMetrics

System Properties Comparison Atos Standard Common Repository vs. Fauna vs. Microsoft Azure Synapse Analytics vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonVictoriaMetrics  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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfauna.comazure.microsoft.com/­services/­synapse-analyticsvictoriametrics.com
Technical documentationdocs.fauna.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAtos Convergence CreatorsFauna, Inc.MicrosoftVictoriaMetrics
Initial release2016201420162018
Current release1703v1.91, May 2023
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 languageJavaScalaC++Go
Server operating systemsLinuxhostedhostedFreeBSD
Linux
macOS
OpenBSD
Data schemeSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateoptionalnoyes
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 SQLnonoyesno
APIs and other access methodsLDAPRESTful HTTP APIADO.NET
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesAll languages with LDAP bindingsC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
Java
PHP
Server-side scripts infoStored proceduresnouser defined functionsTransact SQLno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning infoconsistent hashingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesSynchronous replication
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 integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno
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.yesnono
User concepts infoAccess controlLDAP bind authenticationIdentity management, authentication, and access controlyes

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More resources
Atos Standard Common RepositoryFauna infopreviously named FaunaDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseVictoriaMetrics
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