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DBMS > Oracle Berkeley DB vs. RDFox vs. Spark SQL vs. TimesTen vs. Transbase

System Properties Comparison Oracle Berkeley DB vs. RDFox vs. Spark SQL vs. TimesTen vs. Transbase

Editorial information provided by DB-Engines
NameOracle Berkeley DB  Xexclude from comparisonRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparisonTimesTen  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionWidely used in-process key-value storeHigh performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processingIn-Memory RDBMS compatible to OracleA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oxfordsemantic.techspark.apache.org/­sqlwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.oracle.com/­database/­timesten-18.1www.transaction.de/­en/­products/­transbase/­features.html
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleOxford Semantic TechnologiesApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Transaction Software GmbH
Initial release19942017201419981987
Current release18.1.40, May 20206.0, Septermber 20223.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infocommercial license availablecommercialOpen Source infoApache 2.0commercialcommercial infofree development license
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, Java, C++ (depending on the Berkeley DB edition)C++ScalaC and C++
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 editionnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infoSQL interfaced based on SQLite is availablenoSQL-like DML and DDL statementsyesyes
APIs and other access methodsRESTful HTTP API
SPARQL 1.1
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.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
Java
Python
R
Scala
C
C++
Java
PL/SQL
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonoPL/SQLyes
Triggersyes infoonly for the SQL APInonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationreplication via a shared file systemnoneMulti-source replication
Source-replica replication
Source-replica replication
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 setupsImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesno
User concepts infoAccess controlnoRoles, resources, and access typesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Oracle Berkeley DBRDFoxSpark SQLTimesTenTransbase
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