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DBMS > Adabas vs. Apache Phoenix vs. Hypertable vs. RDF4J

System Properties Comparison Adabas vs. Apache Phoenix vs. Hypertable vs. RDF4J

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHypertable  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA scale-out RDBMS with evolutionary schema built on Apache HBaseAn open source BigTable implementation based on distributed file systems such as HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelMultivalue DBMSRelational DBMSWide column storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlphoenix.apache.orgrdf4j.org
Technical documentationphoenix.apache.orgrdf4j.org/­documentation
DeveloperSoftware AGApache Software FoundationHypertable Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release1971201420092004
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
Unix
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Unix
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesnono
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCC++ API
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesNaturalC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresin Naturaluser defined functionsnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication
Source-replica replication
selectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono

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