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DBMS > 4D vs. Apache Jena - TDB vs. Google Cloud Firestore vs. MarkLogic vs. Spark SQL

System Properties Comparison 4D vs. Apache Jena - TDB vs. Google Cloud Firestore vs. MarkLogic vs. Spark SQL

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Operational and transactional Enterprise NoSQL databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRDF storeDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score7.85
Rank#51  Overall
#8  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.4d.comjena.apache.org/­documentation/­tdb/­index.htmlfirebase.google.com/­products/­firestorewww.marklogic.comspark.apache.org/­sql
Technical documentationdeveloper.4d.comjena.apache.org/­documentation/­tdb/­index.htmlfirebase.google.com/­docs/­firestoredocs.marklogic.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncApache Software Foundation infooriginally developed by HP LabsGoogleMarkLogic Corp.Apache Software Foundation
Initial release19842000201720012014
Current releasev20, April 20234.9.0, July 202311.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Scala
Server operating systemsOS X
Windows
All OS with a Java VMhostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyes infoRDF Schemasschema-freeschema-free infoSchema can be enforcedyes
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.yesnoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92nonoyes infoSQL92SQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
JavaGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesyes, Firebase Rules & Cloud Functionsyes infovia XQuery or JavaScriptno
Triggersyesyes infovia event handleryes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsyesACID infocan act as a resource manager in an XA/JTA transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesno
User concepts infoAccess controlUsers and groupsAccess control via Jena SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Role-based access control at the document and subdocument levelsno

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More resources
4D infoformer name: 4th DimensionApache Jena - TDBGoogle Cloud FirestoreMarkLogicSpark SQL
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