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DBMS > Microsoft Access vs. Postgres-XL vs. RDF4J vs. Sequoiadb vs. SQream DB

System Properties Comparison Microsoft Access vs. Postgres-XL vs. RDF4J vs. Sequoiadb vs. SQream DB

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionMicrosoft 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.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSRDF storeDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgrdf4j.orgwww.sequoiadb.comsqream.com
Technical documentationdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.sqream.com
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.SQream Technologies
Initial release19922014 infosince 2012, originally named StormDB200420132017
Current release1902 (16.0.11328.20222), March 201910 R1, October 20182022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licenseOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
OS X
Unix
Windows
LinuxLinux
Data schemeyesyesyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes, ANSI Standard SQL Types
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.yes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyes infodistributed, parallel query executionnoSQL-like query languageyes
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSON.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
.Net
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineuser defined functionsyesJavaScriptuser defined functions in Python
Triggersyes infosince Access 2010 using the ACE-engineyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACID infoMVCCACID infoIsolation support depends on the API usedDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardnosimple password-based access control

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More resources
Microsoft AccessPostgres-XLRDF4J infoformerly known as SesameSequoiadbSQream DB
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