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DBMS > Apache Jena - TDB vs. Google Cloud Datastore vs. Oracle Berkeley DB vs. Oracle Rdb

System Properties Comparison Apache Jena - TDB vs. Google Cloud Datastore vs. Oracle Berkeley DB vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used in-process key-value store
Primary database modelRDF storeDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#93  Overall
#3  RDF stores
Score4.13
Rank#71  Overall
#12  Document stores
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­datastorewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­datastore/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software Foundation infooriginally developed by HP LabsGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2000200819941984
Current release4.9.0, July 202318.1.40, May 20207.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
HP Open VMS
Data schemeyes infoRDF Schemasschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes, details herenoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.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
Server-side scripts infoStored proceduresyesusing Google App Engineno
Triggersyes infovia event handlerCallbacks using the Google Apps Engineyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess control via Jena SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Apache Jena - TDBGoogle Cloud DatastoreOracle Berkeley DBOracle Rdb
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