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DBMS > Atos Standard Common Repository vs. eXtremeDB vs. Google Cloud Spanner vs. PostGIS

System Properties Comparison Atos Standard Common Repository vs. eXtremeDB vs. Google Cloud Spanner vs. PostGIS

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonPostGIS  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 networksNatively in-memory DBMS with options for persistency, high-availability and clusteringA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Spatial extension of PostgreSQL
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mcobject.comcloud.google.com/­spannerpostgis.net
Technical documentationwww.mcobject.com/­docs/­extremedb.htmcloud.google.com/­spanner/­docspostgis.net/­documentation
DeveloperAtos Convergence CreatorsMcObjectGoogle
Initial release2016200120172005
Current release17038.2, 20213.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesno infosupport of XML interfaces availablenoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsLDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnouser defined functions
Triggersyesyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning / shardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication with 3 replicas for regional instances.yes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on PostgreSQL
More information provided by the system vendor
Atos Standard Common RepositoryeXtremeDBGoogle Cloud SpannerPostGIS
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Atos Standard Common RepositoryeXtremeDBGoogle Cloud SpannerPostGIS
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