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DBMS > Interbase vs. Microsoft Access vs. Microsoft Azure Synapse Analytics vs. MonetDB vs. RDF4J

System Properties Comparison Interbase vs. Microsoft Access vs. Microsoft Azure Synapse Analytics vs. MonetDB vs. RDF4J

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMonetDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandMicrosoft 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.)Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA relational database management system that stores data in columnsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­synapse-analyticswww.monetdb.orgrdf4j.org
Technical documentationdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­azure/­synapse-analyticswww.monetdb.org/­Documentationrdf4j.org/­documentation
DeveloperEmbarcaderoMicrosoftMicrosoftMonetDB BVSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release19841992201620042004
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 2019Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoMozilla Public License 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++CJava
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infoexport as XML data possibleno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardyesyes infoSQL 2003 with some extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineTransact SQLyes, in SQL, C, Ryes
Triggersyesyes infosince Access 2010 using the ACE-enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioningSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsnoneyesnone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003yesfine grained access rights according to SQL-standardno

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More resources
InterbaseMicrosoft AccessMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMonetDBRDF4J infoformerly known as Sesame
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