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DBMS > Atos Standard Common Repository vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. OpenSearch

System Properties Comparison Atos Standard Common Repository vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. OpenSearch

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenSearch  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 networksAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSearch-as-a-service for web and mobile app developmentA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelDocument store
Key-value store
Document storeSearch engineSearch engine
Secondary database modelsVector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#71  Overall
#12  Document stores
Score5.75
Rank#58  Overall
#7  Search engines
Score16.31
Rank#36  Overall
#4  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­searchgithub.com/­opensearch-project
opensearch.org
Technical documentationcloud.google.com/­datastore/­docslearn.microsoft.com/­en-us/­azure/­searchopensearch.org/­docs/­latest
DeveloperAtos Convergence CreatorsGoogleMicrosoftAmazon Web Services
Initial release2016200820152021
Current release1703V12.5.0, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaJava
Server operating systemsLinuxhostedhostedAll OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateoptionalyes, details hereyesyes
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 infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language (GQL)noSQL-like query language
APIs and other access methodsLDAPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresnousing Google App Enginenoyes
TriggersyesCallbacks using the Google Apps Enginenoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
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.yesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authentication
More information provided by the system vendor
Atos Standard Common RepositoryGoogle Cloud DatastoreMicrosoft Azure AI SearchOpenSearch
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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Atos Standard Common RepositoryGoogle Cloud DatastoreMicrosoft Azure AI SearchOpenSearch
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