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DBMS > Atos Standard Common Repository vs. JaguarDB vs. Microsoft Access vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison Atos Standard Common Repository vs. JaguarDB vs. Microsoft Access vs. Microsoft Azure AI Search vs. Sphinx

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  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 networksPerformant, highly scalable DBMS for AI and IoT applicationsMicrosoft 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 developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Key-value store
Vector DBMS
Relational DBMSSearch engineSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score6.03
Rank#60  Overall
#6  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.jaguardb.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationwww.jaguardb.com/­support.htmldeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperAtos Convergence CreatorsDataJaguar, Inc.MicrosoftMicrosoftSphinx Technologies Inc.
Initial release20162015199220152001
Current release17033.3 July 20231902 (16.0.11328.20222), March 2019V13.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercial infoBundled with Microsoft OfficecommercialOpen Source infoGPL version 2, commercial licence 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 languageJavaC++ infothe server part. Clients available in other languagesC++C++
Server operating systemsLinuxLinuxWindows infoNot a real database server, but making use of DLLshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesno
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 indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infobut not compliant to any SQL standardnoSQL-like query language (SphinxQL)
APIs and other access methodsLDAPJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIProprietary protocol
Supported programming languagesAll languages with LDAP bindingsC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenono
Triggersyesnoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneyes infoImplicit feature of the cloud servicenone
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 configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID infobut no files for transaction loggingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 authenticationrights management via user accountsno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationno

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More resources
Atos Standard Common RepositoryJaguarDBMicrosoft AccessMicrosoft Azure AI SearchSphinx
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