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DBMS > Apache Jena - TDB vs. Google Cloud Datastore vs. Interbase vs. Microsoft Access vs. TerminusDB

System Properties Comparison Apache Jena - TDB vs. Google Cloud Datastore vs. Interbase vs. Microsoft Access vs. TerminusDB

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 PlatformLight-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.)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRDF storeDocument storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score4.36
Rank#72  Overall
#12  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­datastorewww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accessterminusdb.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation infooriginally developed by HP LabsGoogleEmbarcaderoMicrosoftDataChemist Ltd.
Initial release20002008198419922018
Current release4.9.0, July 2023InterBase 2020, December 20191902 (16.0.11328.20222), March 201911.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++Prolog, Rust
Server operating systemsAll OS with a Java VMhostedAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeyes infoRDF Schemasschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nono infoexport as XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyes infobut not compliant to any SQL standardSQL-like query language (WOQL)
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
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJava.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScript
Python
Server-side scripts infoStored proceduresyesusing Google App Engineyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineyes
Triggersyes infovia event handlerCallbacks using the Google Apps Engineyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosInterbase Change ViewsnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
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 pathsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess control via Jena SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Role-based access control

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More resources
Apache Jena - TDBGoogle Cloud DatastoreInterbaseMicrosoft AccessTerminusDB infoformer name was DataChemist
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