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DBMS > Google BigQuery vs. Microsoft Access vs. MySQL vs. TDengine

System Properties Comparison Google BigQuery vs. Microsoft Access vs. MySQL vs. TDengine

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMySQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Widely used open source RDBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score1029.49
Rank#2  Overall
#2  Relational DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitecloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­accesswww.mysql.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationcloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­accessdev.mysql.com/­docdocs.tdengine.com
DeveloperGoogleMicrosoftOracle infosince 2010, originally MySQL AB, then SunTDEngine, previously Taos Data
Initial release2010199219952019
Current release1902 (16.0.11328.20222), March 20199.0.0, July 20243.0, August 2022
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsFreeBSD
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 SQLyesyes infobut not compliant to any SQL standardyes infowith proprietary extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-engineyes infoproprietary syntaxno
Triggersnoyes infosince Access 2010 using the ACE-engineyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes
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 integritynoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infobut no files for transaction loggingACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept infono user groups or rolesyes
More information provided by the system vendor
Google BigQueryMicrosoft AccessMySQLTDengine
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
Google BigQueryMicrosoft AccessMySQLTDengine
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