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DBMS > Microsoft Azure Data Explorer vs. OpenTSDB vs. TDengine vs. YottaDB

System Properties Comparison Microsoft Azure Data Explorer vs. OpenTSDB vs. TDengine vs. YottaDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTDengine  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformScalable Time Series DBMS based on HBaseTime Series DBMS and big data platformA fast and solid embedded Key-value store
Primary database modelRelational DBMS infocolumn orientedTime Series DBMSTime Series DBMSKey-value store
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 DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websiteazure.microsoft.com/­services/­data-exploreropentsdb.netgithub.com/­taosdata/­TDengine
tdengine.com
yottadb.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-exploreropentsdb.net/­docs/­build/­html/­index.htmldocs.tdengine.comyottadb.com/­resources/­documentation
DeveloperMicrosoftcurrently maintained by Yahoo and other contributorsTDEngine, previously Taos DataYottaDB, LLC
Initial release2019201120192001
Current releasecloud service with continuous releases3.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoLGPLOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC
Server operating systemshostedLinux
Windows
Linux
Windows
Docker
Linux
Data schemeFixed schema with schema-less datatypes (dynamic)schema-freeyesschema-free
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-typesnumeric data for metrics, strings for tagsyesno
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.yesnonono
Secondary indexesall fields are automatically indexednonono
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetnoStandard SQL with extensions for time-series applicationsby using the Octo plugin
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Telnet API
JDBC
RESTful HTTP API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Erlang
Go
Java
Python
R
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rnono
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBaseyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAzure Active Directory AuthenticationnoyesUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Microsoft Azure Data ExplorerOpenTSDBTDengineYottaDB
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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More resources
Microsoft Azure Data ExplorerOpenTSDBTDengineYottaDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Recent citations in the news

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer
31 May 2024, azure.microsoft.com

Update records in a Kusto Database (public preview)
20 February 2024, azure.microsoft.com

Announcing General Availability to migrate Virtual Network injected Azure Data Explorer Cluster to Private Endpoints
5 February 2024, azure.microsoft.com

Announcing General Availability of Graph Semantics in Kusto
27 May 2024, azure.microsoft.com

General availability: Azure Data Explorer adds new geospatial capabilities
23 January 2024, azure.microsoft.com

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1 April 2015, O'Reilly Media

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TDengine Cloud released to developers
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TDengine Brings Open Source Time-Series Database to Kubernetes
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