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DBMS > Atos Standard Common Repository vs. BoltDB vs. Google Cloud Firestore vs. Microsoft SQL Server

System Properties Comparison Atos Standard Common Repository vs. BoltDB vs. Google Cloud Firestore vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft SQL Server  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 networksAn embedded key-value store for Go.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Microsofts flagship relational DBMS
Primary database modelDocument store
Key-value store
Key-value storeDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltfirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­sql-server
Technical documentationfirebase.google.com/­docs/­firestorelearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAtos Convergence CreatorsGoogleMicrosoft
Initial release2016201320171989
Current release1703SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaGoC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
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.yesnonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsLDAPAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages with LDAP bindingsGoGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud FunctionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnoyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesyesACID
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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryBoltDBGoogle Cloud FirestoreMicrosoft SQL Server
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