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DBMS > Atos Standard Common Repository vs. Elasticsearch vs. Fujitsu Enterprise Postgres vs. Microsoft Azure AI Search

System Properties Comparison Atos Standard Common Repository vs. Elasticsearch vs. Fujitsu Enterprise Postgres vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonElasticsearch  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMicrosoft Azure AI Search  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 networksA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Search-as-a-service for web and mobile app development
Primary database modelDocument store
Key-value store
Search engineRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score134.78
Rank#7  Overall
#1  Search engines
Score0.37
Rank#281  Overall
#127  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.elastic.co/­elasticsearchwww.postgresql.fastware.comazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.postgresql.fastware.com/­product-manualslearn.microsoft.com/­en-us/­azure/­search
DeveloperAtos Convergence CreatorsElasticPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoft
Initial release201620102015
Current release17038.6, January 2023Fujitsu Enterprise Postgres 14, January 2022V1
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
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.yesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsLDAPJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersyesyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingpartitioning by range, list and by hashSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesMemcached and Redis integrationno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardyes infousing Azure authentication
More information provided by the system vendor
Atos Standard Common RepositoryElasticsearchFujitsu Enterprise PostgresMicrosoft Azure AI Search
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Atos Standard Common RepositoryElasticsearchFujitsu Enterprise PostgresMicrosoft Azure AI Search
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