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DBMS > DuckDB vs. InfluxDB vs. Microsoft Azure SQL Database vs. TDSQL for MySQL

System Properties Comparison DuckDB vs. InfluxDB vs. Microsoft Azure SQL Database vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSDBMS for storing time series, events and metricsDatabase as a Service offering with high compatibility to Microsoft SQL ServerA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websiteduckdb.orgwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.tencentcloud.com/­products/­dcdb
Technical documentationduckdb.org/­docsdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.tencentcloud.com/­document/­product/­1042
DeveloperMicrosoftTencent
Initial release2018201320102013
Current release1.0.0, June 20242.7.6, April 2024V12
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC++
Server operating systemsserver-lessLinux
OS X infothrough Homebrew
hostedhosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageyesyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
JDBC
ODBC
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
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQLyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlyAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlyyes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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 infoDepending on used storage engineno
User concepts infoAccess controlnosimple rights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
DuckDBInfluxDBMicrosoft Azure SQL Database infoformerly SQL AzureTDSQL for MySQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
DuckDBInfluxDBMicrosoft Azure SQL Database infoformerly SQL AzureTDSQL for MySQL
DB-Engines blog posts

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Recent citations in the news

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11 June 2024, PR Newswire

DuckDB: The tiny but powerful analytics database
15 May 2024, InfoWorld

DuckDB promises greater stability with 1.0 release
5 June 2024, The Register

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
1 May 2024, Towards Data Science

DuckDB: In-Process Python Analytics for Not-Quite-Big Data
31 May 2024, The New Stack

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14 March 2024, AWS Blog

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