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DBMS > MySQL vs. PostgreSQL vs. TimescaleDB

System Properties Comparison MySQL vs. PostgreSQL vs. TimescaleDB

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS infoKey/Value like access via memcached APIRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1223.63
Rank#2  Overall
#2  Relational DBMS
Score476.62
Rank#4  Overall
#4  Relational DBMS
Score1.11
Rank#136  Overall
#8  Time Series DBMS
Websitewww.mysql.comwww.postgresql.orgwww.timescale.com
Technical documentationdev.mysql.com/­docwww.postgresql.org/­docs/­manualsdocs.timescale.com
DeveloperOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developerTimescale
Initial release19951989 info1989: Postgres, 1996: PostgreSQL2017
Current release8.0.16, April 201911.3, May 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC and C++CC
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infostandard with numerous extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hashyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replication infoother methods possible by using 3rd party extensionsMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
MySQLPostgreSQLTimescaleDB
Specific characteristicsTimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersAltair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsApache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MySQLPostgreSQLTimescaleDB
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Conferences and events

Achieving High Availability with PostgreSQL
Webinar, 4PM UTC, 26 February 2019 (finished)

Recent citations in the news

Hackers are scanning for MySQL servers to deploy GandCrab ransomware
24 May 2019, ZDNet

Directed attacks against MySQL servers deliver ransomware
24 May 2019, Naked Security

28 May 2019 News GandCrab Campaign Attacks MySQL Servers
28 May 2019, Infosecurity Magazine

Udemy Will Make You An Expert In MySQL For Just $10
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provided by Google News

RDX Eases Oracle Database Migration to PostgreSQL on AWS
13 June 2019, DevOps.com

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18 June 2019, GlobeNewswire

PostgreSQL 12 Beta 1 released
24 May 2019, Packt Hub

PostgreSQL 12 Beta Released With Performance Improvements
23 May 2019, Phoronix

The Latest Azure Database Updates: After Build, Microsoft makes PostgreSQL, CosmosDB, MongoDB and Database Edge announcements
23 May 2019, MSDynamicsWorld.com

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Introducing Timescale Cloud: The First Fully-Managed, Multi-Cloud Time-Series Database Service
18 June 2019, Odessa American

Timescale's on-demand and managed cloud service simplifies working with time-series and IoT data
20 June 2019, Help Net Security

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16 April 2019, PRNewswire

Timescale and Microsoft Azure Join Forces to Power IoT and Time-Series Workloads
18 March 2019, Business Wire

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