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DBMS > DuckDB vs. Microsoft Azure Cosmos DB vs. MySQL vs. TDengine

System Properties Comparison DuckDB vs. Microsoft Azure Cosmos DB vs. MySQL vs. TDengine

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMySQL  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSGlobally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websiteduckdb.orgazure.microsoft.com/­services/­cosmos-dbwww.mysql.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationduckdb.org/­docslearn.microsoft.com/­azure/­cosmos-dbdev.mysql.com/­docdocs.tdengine.com
DeveloperMicrosoftOracle infosince 2010, originally MySQL AB, then SunTDEngine, previously Taos Data
Initial release2018201419952019
Current release1.0.0, June 20248.4.0, April 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen 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 servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++C and C++C
Server operating systemsserver-lesshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyesyes
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 indexesyesyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLyesSQL-like query languageyes infowith proprietary extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
RESTful HTTP API
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
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 proceduresnoJavaScriptyes infoproprietary syntaxno
TriggersnoJavaScriptyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infotable locks or row locks depending on storage engineyes
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.yesyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or rolesyes
More information provided by the system vendor
DuckDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMySQLTDengine
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
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More resources
DuckDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMySQLTDengine
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