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DBMS > ClickHouse vs. Microsoft Azure Data Explorer

System Properties Comparison ClickHouse vs. Microsoft Azure Data Explorer

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Our visitors often compare ClickHouse and Microsoft Azure Data Explorer with Elasticsearch, Amazon Redshift and Google BigQuery.

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexFully managed big data interactive analytics platform
Primary database modelRelational DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#55  Overall
#31  Relational DBMS
Score4.14
Rank#85  Overall
#44  Relational DBMS
Websiteclickhouse.techazure.microsoft.com/­services/­data-explorer
Technical documentationclickhouse.tech/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperYandex LLCMicrosoft
Initial release20162019
Current releasev20.9.3.45-stable, October 2020cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
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++
Server operating systemsFreeBSD
Linux
macOS
hosted
Data schemeyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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 indexesnoall fields are automatically indexed
SQL infoSupport of SQLClose to ANSI SQLKusto Query Language (KQL), SQL subset
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, R
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes 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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.yesno
User concepts infoAccess controlAccess rights for users and rolesAzure Active Directory Authentication
More information provided by the system vendor
ClickHouseMicrosoft Azure Data Explorer
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» 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
ClickHouseMicrosoft Azure Data Explorer
Recent citations in the news

Altinity grabs $4M seed to build cloud version of ClickHouse open-source data warehouse
1 October 2020, TechCrunch

Machine Learning Capabilities Come to the Majority of Open Source Databases with MindsDB AI-Tables
20 October 2020, PR Web

Database footprints and Database as a Service continue to grow, but many companies facing unexpected cloud bills, according to Percona
22 October 2020, DevOps.com

The Crunchbase News Briefing: Thurs., Oct. 1
1 October 2020, Crunchbase News

From Russia with OLAP: Percona uses ClickHouse analytics
10 October 2019, ComputerWeekly.com

provided by Google News

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

AMD Boosts Microsoft Azure Data Explorer Performance
16 October 2020, SDxCentral

AMD EPYC Processors Power Microsoft Azure Data Explorer, Offers Users 30 Percent Better Performance
15 October 2020, HPCwire

AMD releases Azure Data Explorer PaaS solution
19 October 2020, ChannelLife Australia

Azure Data Explorer gets Synapse integration and other enhancements
15 October 2020, EnterpriseTalk

provided by Google News

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