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DBMS > PostgreSQL vs. TempoIQ

System Properties Comparison PostgreSQL vs. TempoIQ

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Our visitors often compare PostgreSQL and TempoIQ with TimescaleDB, InfluxDB and MongoDB.

Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
DescriptionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLScalable analytics DBMS for sensor data, provided as a service (SaaS)
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
Score483.91
Rank#4  Overall
#4  Relational DBMS
Score0.06
Rank#314  Overall
#26  Time Series DBMS
Websitewww.postgresql.orgwww.tempoiq.com
Technical documentationwww.postgresql.org/­docs/­manualsapp.tempoiq.com/­docs/­html/­index.html
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerTempoIQ
Initial release1989 info1989: Postgres, 1996: PostgreSQL2012
Current release12.0, October 2019
License infoCommercial or Open SourceOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • EDB Postgres Cloud Database Service: Postgres cloud database service on AWS with Superuser Access, Unlimited Extensions, Higher Scalability, More Tuning Power and Oracle Compatibility. Try free!
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
Implementation languageC
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes
SQL infoSupport of SQLyes infostandard with numerous extensionsno
APIs and other access methodsnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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-standardsimple authentication-based access control

More information provided by the system vendor

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Related products and services
3rd partiesDremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
» more

DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
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pgDash: In-Depth PostgreSQL Monitoring.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
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2ndQuadrant: PostgreSQL Solutions for the Enterprise.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
» more

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

More resources
PostgreSQLTempoIQ infoformerly TempoDB
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

PostgreSQL Conference, Europe 2019
Milan, Italy, 15-18 October 2019

Recent citations in the news

PostgreSQL 12 boosts open source database performance
14 October 2019, TechTarget

PostgreSQL 12 Released
14 October 2019, iProgrammer

2ndQuadrant Contributes Major Features to PostgreSQL 12
3 October 2019, PRNewswire

PostgreSQL turns performance up for v12 release
3 October 2019, DevClass

PostgreSQL puts the pedal to the metal with some smart indexing tweaks in version 12
4 October 2019, The Register

provided by Google News

Big Data and Analytics Market May see a big move according to a new research report - WhaTech
15 October 2019, WhaTech

Avant Taps StudyCloud and TempoIQ for its Next Growth Stage
19 April 2016, Crowdfund Insider

6 IoT Startups That Make Connecting Things To The Cloud A Breeze
13 April 2015, Forbes

Big Data Analytics Market Expects to See Significant Growth During 2019-2026: Key Players- Microsoft Corporation, MongoDB, Predikto, Informatica
25 July 2019, Market Expert

Hyde Park Venture Partners announces $65 million fund
31 August 2016, Chicago Tribune

provided by Google News

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