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DBMS > Google BigQuery vs. Microsoft Azure SQL Database vs. MonetDB vs. TDengine

System Properties Comparison Google BigQuery vs. Microsoft Azure SQL Database vs. MonetDB vs. TDengine

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMonetDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDatabase as a Service offering with high compatibility to Microsoft SQL ServerA relational database management system that stores data in columnsTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.monetdb.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.monetdb.org/­Documentationdocs.tdengine.com
DeveloperGoogleMicrosoftMonetDB BVTDEngine, previously Taos Data
Initial release2010201020042019
Current releaseV12Dec2023 (11.49), December 20233.0, August 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesyesyes infoSQL 2003 with some extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptTransact SQLyes, in SQL, C, Rno
Triggersnoyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availablenone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.no
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Google BigQueryMicrosoft Azure SQL Database infoformerly SQL AzureMonetDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

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8 May 2024

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7 May 2024

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19 April 2024

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15 April 2024

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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
Google BigQueryMicrosoft Azure SQL Database infoformerly SQL AzureMonetDBTDengine
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