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DBMS > Linter vs. Microsoft Azure Data Explorer

System Properties Comparison Linter vs. Microsoft Azure Data Explorer

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Our visitors often compare Linter and Microsoft Azure Data Explorer with Hive, Microsoft Azure Cosmos DB and Google BigQuery.

Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionRDBMS for high security requirementsFully managed big data interactive analytics platform
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#339  Overall
#138  Relational DBMS
Score1.94
Rank#118  Overall
#61  Relational DBMS
Websitelinter.ru/­enazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorer
Developerrelex.ru/­enMicrosoft
Initial release19902019
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
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.noyes
Secondary indexesyes
SQL infoSupport of SQLyesKusto Query Language (KQL), SQL subset
APIs and other access methodsJDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLYes. Languages: KQL, Python, R
TriggersyesTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.no
User concepts infoAccess controlfine grained access rights according to SQL-standardAzure Active Directory Authentication

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More resources
LinterMicrosoft Azure Data Explorer
Recent citations in the news

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16 August 2019, The Jerusalem Post

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

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7 February 2019, Channel 9

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12 February 2019, InfoWorld

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20 February 2019, eWeek

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