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DBMS > Atos Standard Common Repository vs. Coveo vs. GBase vs. GeoMesa

System Properties Comparison Atos Standard Common Repository vs. Coveo vs. GBase vs. GeoMesa

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCoveo  Xexclude from comparisonGBase  Xexclude from comparisonGeoMesa  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 networksAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelDocument store
Key-value store
Search engineRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.coveo.comwww.gbase.cnwww.geomesa.org
Technical documentationdocs.coveo.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperAtos Convergence CreatorsCoveoGeneral Data Technology Co., Ltd.CCRi and others
Initial release2016201220042014
Current release1703GBase 8a, GBase 8s, GBase 8c4.0.5, February 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, PythonScala
Server operating systemsLinuxhostedLinux
Data schemeSchema and schema-less with LDAP viewshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
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.yesnoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoStandard with numerous extensionsno
APIs and other access methodsLDAPRESTful HTTP APIADO.NET
C API
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC#
Java
JavaScript
Python
C#
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyeshorizontal partitioning (by range, list and hash) and vertical partitioningdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistencydepending on storage layer
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACIDno
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.yesdepending on storage layer
User concepts infoAccess controlLDAP bind authenticationgranular access controls, API key management, content filtersyesyes infodepending on the DBMS used for storage

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More resources
Atos Standard Common RepositoryCoveoGBaseGeoMesa
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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