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DBMS > Microsoft Azure Table Storage vs. OpenEdge vs. RDF4J vs. Teradata Aster

System Properties Comparison Microsoft Azure Table Storage vs. OpenEdge vs. RDF4J vs. Teradata Aster

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonOpenEdge  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsApplication development environment with integrated database management systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Platform for big data analytics on multistructured data sources and types
Primary database modelWide column storeRelational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.progress.com/­openedgerdf4j.org
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestrdf4j.org/­documentation
DeveloperMicrosoftProgress Software CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release2012198420042005
Current releaseOpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyes infoRDF SchemasFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoclose to SQL 92noyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language)Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesyesR packages
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesUsers and groupsnofine grained access rights according to SQL-standard

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More resources
Microsoft Azure Table StorageOpenEdgeRDF4J infoformerly known as SesameTeradata Aster
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