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DBMS > PostgreSQL vs. TimescaleDB

System Properties Comparison PostgreSQL vs. TimescaleDB

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Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWidely 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 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 store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score469.81
Rank#4  Overall
#4  Relational DBMS
Score0.91
Rank#147  Overall
#8  Time Series DBMS
Websitewww.postgresql.orgwww.timescale.com
Technical documentationwww.postgresql.org/­docs/­manualsdocs.timescale.com
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerTimescale
Initial release1989 info1989: Postgres, 1996: PostgreSQL2017
Current release11.2, February 2019
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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
Implementation languageCC
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesnumerics, 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.yes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyes
SQL infoSupport of SQLyes infostandard with numerous extensionsyes infofull PostgreSQL SQL syntax
APIs and other access methodsnative 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 languages.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 proceduresuser 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
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodespartitioning 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-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 methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
PostgreSQLTimescaleDB
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.

Related products and services
3rd partiesDBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
» more

Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

2ndQuadrant: PostgreSQL Solutions for the Enterprise.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» more

Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

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

More resources
PostgreSQLTimescaleDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PGCon 2019, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 28-31 May 2019

Finished events

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

Recent citations in the news

Microsoft brings PostgreSQL extension and SQL Notebooks functionality to Azure Data Studio
19 March 2019, Packt Hub

Pivotal Strengthens its Commitment to PostgreSQL in the Enterprise with the Release of Pivotal Greenplum 6 and a New Offering Pivotal Postgres
19 March 2019, DevOps.com

Pivotal Extends GreenPlum, PostgreSQL on Cloud Foundry
21 March 2019, Datanami

How to handle backup and recovery with PostgreSQL 11 [Tutorial]
2 March 2019, Packt Hub

Learn how to manage security in PostgreSQL [Tutorial]
26 February 2019, Packt Hub

provided by Google News

news digest: TimescaleDB on Azure, SAP Analytics Cloud, and Rockset's new cloud service - SD Times
19 March 2019, SDTimes.com

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

TimescaleDB Readies its 1.0 Launch for Primetime
13 September 2018, RTInsights

Introducing TimescaleDB 1.0, the first OS time-series database with full SQL support
13 September 2018, Packt Hub

Timescale Announces TimescaleDB 1.0—Empowering Organizations to Leverage Time-Series Data to Analyze the Past, Understand the Present, and Predict the Future
12 September 2018, Business Wire

provided by Google News

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