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DBMS > Microsoft Access vs. Oracle Berkeley DB vs. RDFox vs. Sphinx

System Properties Comparison Microsoft Access vs. Oracle Berkeley DB vs. RDFox vs. Sphinx

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRDFox  Xexclude from comparisonSphinx  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.)Widely used in-process key-value storeHigh performance knowledge graph and semantic reasoning engineOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
RDF store
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oxfordsemantic.techsphinxsearch.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oxfordsemantic.techsphinxsearch.com/­docs
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleOxford Semantic TechnologiesSphinx Technologies Inc.
Initial release1992199420172001
Current release1902 (16.0.11328.20222), March 201918.1.40, May 20206.0, Septermber 20223.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infocommercial license availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)C++C++
Server operating systemsWindows infoNot a real database server, but making use of DLLsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesnoyesno
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 infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infobut not compliant to any SQL standardyes infoSQL interfaced based on SQLite is availablenoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
Proprietary protocol
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenono
Triggersyes infosince Access 2010 using the ACE-engineyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003noRoles, resources, and access typesno

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More resources
Microsoft AccessOracle Berkeley DBRDFoxSphinx
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