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DBMS > Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. GridDB

System Properties Comparison Atos Standard Common Repository vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. GridDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridDB  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 networksEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.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.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgresql.fastware.comfirebase.google.com/­products/­firestoregriddb.net
Technical documentationwww.postgresql.fastware.com/­product-manualsfirebase.google.com/­docs/­firestoredocs.griddb.net
DeveloperAtos Convergence CreatorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleToshiba Corporation
Initial release201620172013
Current release1703Fujitsu Enterprise Postgres 14, January 20225.1, August 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsLinuxLinux
Windows
hostedLinux
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes, Firebase Rules & Cloud Functionsno
Triggersyesyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionpartitioning by range, list and by hashShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud DataflowConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users can be defined per database

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More resources
Atos Standard Common RepositoryFujitsu Enterprise PostgresGoogle Cloud FirestoreGridDB
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