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DBMS > Atos Standard Common Repository vs. BaseX vs. Databricks vs. GeoSpock vs. Microsoft Access

System Properties Comparison Atos Standard Common Repository vs. BaseX vs. Databricks vs. GeoSpock vs. Microsoft Access

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBaseX  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Access  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 networksLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Spatial 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.)
Primary database modelDocument store
Key-value store
Native XML DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybasex.orgwww.databricks.comgeospock.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.basex.orgdocs.databricks.comdeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsBaseX GmbHDatabricksGeoSpockMicrosoft
Initial release2016200720131992
Current release170311.0, June 20242.0, September 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialcommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, JavascriptC++
Server operating systemsLinuxLinux
OS X
Windows
hostedhostedWindows infoNot a real database server, but making use of DLLs
Data schemeSchema and schema-less with LDAP viewsschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateoptionalno infoXQuery supports typesyesyes
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.yesyesno
Secondary indexesyesyesyestemporal, categoricalyes
SQL infoSupport of SQLnonowith Databricks SQLANSI SQL for query only (using Presto)yes infobut not compliant to any SQL standard
APIs and other access methodsLDAPJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
RESTful HTTP API
JDBCADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Python
R
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesuser defined functions and aggregatesnoyes infosince Access 2010 using the ACE-engine
Triggersyesyes infovia eventsnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsmultiple readers, single writerACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
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 authenticationUsers with fine-grained authorization concept on 4 levelsAccess rights for users can be defined per tableno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Atos Standard Common RepositoryBaseXDatabricksGeoSpockMicrosoft Access
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryBaseXDatabricksGeoSpockMicrosoft Access
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