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DBMS > Interbase vs. Microsoft Access vs. mSQL vs. Oracle Rdb vs. Splice Machine

System Properties Comparison Interbase vs. Microsoft Access vs. mSQL vs. Oracle Rdb vs. Splice Machine

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSplice Machine  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.)mSQL (Mini SQL) is a simple and lightweight RDBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.04
Rank#71  Overall
#39  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accesshughestech.com.au/­products/­msqlwww.oracle.com/­database/­technologies/­related/­rdb.htmlsplicemachine.com
Technical documentationdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accesswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsplicemachine.com/­how-it-works
DeveloperEmbarcaderoMicrosoftHughes TechnologiesOracle, originally developed by Digital Equipment Corporation (DEC)Splice Machine
Initial release19841992199419842014
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 20194.4, October 20217.4.1.1, 20213.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercial infofree licenses can be providedcommercialOpen Source infoAGPL 3.0, commercial license available
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 languageCC++CJava
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
HP Open VMSLinux
OS X
Solaris
Windows
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)yes
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 possiblenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Delphi
Java
Perl
PHP
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-enginenoyes infoJava
Triggersyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingnoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesnoyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003noAccess rights for users, groups and roles according to SQL-standard

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More resources
InterbaseMicrosoft AccessmSQL infoMini SQLOracle RdbSplice Machine
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