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DBMS > Adabas vs. Apache Jena - TDB vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison Adabas vs. Apache Jena - TDB vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. WakandaDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  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 frameworkA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelMultivalue DBMSRDF storeGraph DBMS
Key-value store
Relational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score3.85
Rank#86  Overall
#3  RDF stores
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmljena.apache.org/­documentation/­tdb/­index.htmlwww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperSoftware AGApache Software Foundation infooriginally developed by HP LabsMicrosoftMicrosoftWakanda SAS
Initial release19712000201020162012
Current release4.9.0, July 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoMIT LicensecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava.NET and CC++C++, JavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM.NEThostedLinux
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynonoyesno
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
RESTful HTTP APIADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesNaturalJavaC#
C++
F#
Visual Basic
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresin NaturalyesyesTransact SQLyes
Triggersnoyes infovia event handlernonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonehorizontal partitioningSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access control via Jena Securityyesyes

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More resources
Adabas infodenotes "adaptable data base"Apache Jena - TDBGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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