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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBaseX  Xexclude from comparisonDatabricks  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Access  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 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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsMicrosoft 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
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybasex.orgwww.databricks.comwww.gigaspaces.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.basex.orgdocs.databricks.comdocs.gigaspaces.com/­latest/­landing.htmldeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsBaseX GmbHDatabricksGigaspaces TechnologiesMicrosoft
Initial release20162007201320001992
Current release170310.7, August 202315.5, September 20201902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetC++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
macOS
Solaris
Windows
Windows 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)schema-freeyes
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 infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonowith Databricks SQLSQL-99 for query and DML statementsyes 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
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.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
.Net
C++
Java
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesuser defined functions and aggregatesyesyes infosince Access 2010 using the ACE-engine
Triggersyesyes infovia eventsyes, event driven architectureyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsmultiple readers, single writerACIDACIDACID 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.yesnoyes
User concepts infoAccess controlLDAP bind authenticationUsers with fine-grained authorization concept on 4 levelsRole-based access controlno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Atos Standard Common RepositoryBaseXDatabricksGigaSpacesMicrosoft Access
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryBaseXDatabricksGigaSpacesMicrosoft Access
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