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DBMS > Adabas vs. Apache Jena - TDB vs. Lovefield vs. Postgres-XL vs. Spark SQL

System Properties Comparison Adabas vs. Apache Jena - TDB vs. Lovefield vs. Postgres-XL vs. Spark SQL

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonLovefield  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkEmbeddable relational database for web apps written in pure JavaScriptBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelMultivalue DBMSRDF storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.78
Rank#81  Overall
#1  Multivalue DBMS
Score3.02
Rank#102  Overall
#3  RDF stores
Score0.23
Rank#283  Overall
#133  Relational DBMS
Score0.70
Rank#206  Overall
#97  Relational DBMS
Score22.86
Rank#35  Overall
#21  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmljena.apache.org/­documentation/­tdb/­index.htmlgoogle.github.io/­lovefieldwww.postgres-xl.orgspark.apache.org/­sql
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftware AGApache Software Foundation infooriginally developed by HP LabsGoogleApache Software Foundation
Initial release1971200020142014 infosince 2012, originally named StormDB2014
Current release4.3.2, December 20212.1.12, February 201710 R1, October 20183.2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoApache 2.0
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 languageJavaJavaScriptCScala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Linux
OS X
Windows
Data schemeyesyes infoRDF Schemasyesyesyes
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like query language infovia JavaScript builder patternyes infodistributed, parallel query executionSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesNaturalJavaJavaScript.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresin Naturalyesnouser defined functionsno
Triggersnoyes infovia event handlerUsing read-only observersyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonenonehorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access control via Jena Securitynofine grained access rights according to SQL-standardno

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More resources
Adabas infodenotes "adaptable data base"Apache Jena - TDBLovefieldPostgres-XLSpark SQL
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