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DBMS > Atos Standard Common Repository vs. H2 vs. Microsoft Access vs. Microsoft Azure AI Search vs. YDB

System Properties Comparison Atos Standard Common Repository vs. H2 vs. Microsoft Access vs. Microsoft Azure AI Search vs. YDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYDB  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 networksFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Search-as-a-service for web and mobile app developmentA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSSearch engineDocument store
Relational DBMS
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.h2database.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.h2database.com/­html/­main.htmldeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchydb.tech/­en/­docs
DeveloperAtos Convergence CreatorsThomas MuellerMicrosoftMicrosoftYandex
Initial release20162005199220152019
Current release17032.2.220, July 20231902 (16.0.11328.20222), March 2019V1
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoBundled with Microsoft OfficecommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
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 VMWindows infoNot a real database server, but making use of DLLshostedLinux
Data schemeSchema and schema-less with LDAP viewsyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardnoSQL-like query language (YQL)
APIs and other access methodsLDAPJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages with LDAP bindingsJavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes infosince Access 2010 using the ACE-enginenono
Triggersyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneyes infoImplicit feature of the cloud serviceActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
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 authenticationfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationAccess rights defined for Yandex Cloud users

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More resources
Atos Standard Common RepositoryH2Microsoft AccessMicrosoft Azure AI SearchYDB
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