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DBMS > Microsoft Azure Data Explorer vs. TimesTen

System Properties Comparison Microsoft Azure Data Explorer vs. TimesTen

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.51
Rank#120  Overall
#62  Relational DBMS
Score2.01
Rank#105  Overall
#52  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database/­timesten-in-memory-database/­index.html
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerwww.oracle.com/­technetwork/­database/­database-technologies/­timesten/­documentation/­index.html
DeveloperMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20191998
Current release11 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial
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.
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyes
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.yesno
Secondary indexesyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresYes. Languages: KQL, Python, RPL/SQL
TriggersTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.no
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAzure Active Directory Authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
Microsoft Azure Data ExplorerTimesTen
Specific characteristicsThe world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesTimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersSome of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsTimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsStandard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Microsoft Azure Data ExplorerTimesTen
Recent citations in the news

Azure Data Explorer for IoT Data Analytics | Internet of Things Show - Microsoft
2 September 2019, Channel 9

Azure Cosmos DB update for August 2019 | Azure Friday - Microsoft
30 August 2019, Channel 9

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

An overview of Azure Data Explorer (ADX) - Microsoft
7 February 2019, Channel 9

How to use Azure Data Explorer for big data analysis
12 February 2019, InfoWorld

provided by Google News

The Guy That Created SAP's Hottest Product Ever Thinks It Will Clobber Oracle
25 January 2012, Business Insider

Oracle gooses Exalytics in-memory appliance with flash, fat DDR3 sticks
15 July 2013, Register

provided by Google News

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