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DBMS > Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. Microsoft Azure SQL Database vs. Solr

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. Microsoft Access vs. Microsoft Azure SQL Database vs. Solr

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSolr  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleMicrosoft 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.)Database as a Service offering with high compatibility to Microsoft SQL ServerA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­products/­azure-sql/­databasesolr.apache.org
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­en-us/­azure/­azure-sqlsolr.apache.org/­resources.html
DeveloperAtos Convergence CreatorsGeoSpockMicrosoftMicrosoftApache Software Foundation
Initial release2016199220102006
Current release17032.0, September 20191902 (16.0.11328.20222), March 2019V129.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC++C++Java
Server operating systemsLinuxhostedWindows infoNot a real database server, but making use of DLLshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptionalyesyesyesyes infosupports customizable data types and automatic typing
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.yesnoyesyes
Secondary indexesyestemporal, categoricalyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standardyesSolr Parallel SQL Interface
APIs and other access methodsLDAPJDBCADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineTransact SQLJava plugins
Triggersyesnoyes infosince Access 2010 using the ACE-engineyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID infobut no files for transaction loggingACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardyes

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More resources
Atos Standard Common RepositoryGeoSpockMicrosoft AccessMicrosoft Azure SQL Database infoformerly SQL AzureSolr
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