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

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

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonEhcache  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 widely adopted Java cache with tiered storage optionsA 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 Server
Primary database modelMultivalue DBMSRDF storeKey-value storeGraph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#78  Overall
#1  Multivalue DBMS
Score2.71
Rank#106  Overall
#4  RDF stores
Score6.10
Rank#66  Overall
#9  Key-value stores
Score0.85
Rank#188  Overall
#17  Graph DBMS
#31  Key-value stores
Score17.98
Rank#39  Overall
#24  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmljena.apache.org/­documentation/­tdb/­index.htmlwww.ehcache.orgwww.graphengine.ioazure.microsoft.com/­services/­synapse-analytics
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwww.ehcache.org/­documentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGApache Software Foundation infooriginally developed by HP LabsTerracotta Inc, owned by Software AGMicrosoftMicrosoft
Initial release19712000200920102016
Current release4.2.0, September 20213.8.1, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava.NET and CC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMAll OS with a Java VM.NEThosted
Data schemeyesyes infoRDF Schemasschema-freeyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynononoyes
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
JCacheRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesNaturalJavaJavaC#
C++
F#
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresin NaturalyesnoyesTransact SQL
Triggersnoyes infovia event handleryes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneSharding infoby using Terracotta Serverhorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornoneyes infoby using Terracotta Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynononono 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 Transactionsyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access control via Jena Securitynoyes

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