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DBMS > Microsoft Azure Table Storage vs. Trafodion

System Properties Comparison Microsoft Azure Table Storage vs. Trafodion

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsTransactional SQL-on-Hadoop DBMS
Primary database modelWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.54
Rank#66  Overall
#5  Wide column stores
Score0.44
Rank#212  Overall
#101  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablestrafodion.apache.org
Technical documentationtrafodion.apache.org
DeveloperMicrosoftApache Software Foundation, originally developed by HP
Initial release20122014
Current release2.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java
Server operating systemshostedLinux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyes
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava Stored Procedures
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Table StorageTrafodion
Recent citations in the news

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

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10 January 2019, The Register

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Apache Releases Trafodion
29 March 2018, iProgrammer

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
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