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DBMS > Microsoft Azure Data Explorer vs. TDengine

System Properties Comparison Microsoft Azure Data Explorer vs. TDengine

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Our visitors often compare Microsoft Azure Data Explorer and TDengine with InfluxDB, TimescaleDB and ClickHouse.

Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformTime Series DBMS and big data platform
Primary database modelRelational DBMS infocolumn orientedTime Series DBMS
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)
Spatial DBMS
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
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.68
Rank#63  Overall
#35  Relational DBMS
Score1.92
Rank#138  Overall
#10  Time Series DBMS
Websiteazure.microsoft.com/­services/­data-explorergithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.tdengine.com
DeveloperMicrosoftTDEngine, previously Taos Data
Initial release20192019
Current releasecloud service with continuous releases3.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3, also commercial editions available
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
Server operating systemshostedLinux
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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 indexesall fields are automatically indexedno
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetStandard SQL with extensions for time-series applications
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rno
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes, via alarm monitoring
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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 controlAzure Active Directory Authenticationyes
More information provided by the system vendor
Microsoft Azure Data ExplorerTDengine
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» more
TDengine™ is an open-source, cloud-native time-series database (TSDB) optimized for...
» more
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» more
High performance: TDengine is the only time-series database that solves the high-cardinality...
» more
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Internet of Things (IoT) Industrial Internet (IIoT) Connected Cars DevOps Energy...
» 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
TDengine has garnered over 19,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsAn Azure Data Explorer cluster is a pair of engine and data management clusters which...
» more
TDengine Community Edition is open-source software released under the AGPL 3.0 that...
» more

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More resources
Microsoft Azure Data ExplorerTDengine
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