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DBMS > InfluxDB vs. Infobright vs. PostgreSQL

System Properties Comparison InfluxDB vs. Infobright vs. PostgreSQL

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonInfobright  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.55
Rank#28  Overall
#1  Time Series DBMS
Score1.22
Rank#154  Overall
#76  Relational DBMS
Score553.52
Rank#4  Overall
#4  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.ignitetech.com/­infobright-dbwww.postgresql.org
Technical documentationdocs.influxdata.com/­influxdbwww.postgresql.org/­docs
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201320051989 info1989: Postgres, 1996: PostgreSQL
Current release2.0.2, November 202013.2 , February 2021
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoBSD
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.
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Implementation languageGoCC
Server operating systemsLinux
OS X infothrough Homebrew
Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateNumeric 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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnono infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLSQL-like query languageyesyes infostandard with numerous extensions
APIs and other access methodsHTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes infoDepending on used storage engineyesno
User concepts infoAccess controlsimple rights management via user accountsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBInfobrightPostgreSQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

InfluxDB’s Checks and Notifications System
19 April 2021

How to Parse Your XML Data with Telegraf
14 April 2021

TL;DR InfluxDB Tech Tips: Configuring a Slack Notification with InfluxDB
13 April 2021

How to Control Crowds with Python, OpenCV and InfluxDB
9 April 2021

Release Announcement: Telegraf 1.18.1
8 April 2021

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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More resources
InfluxDBInfobrightPostgreSQL
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

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

PostgreSQL is the DBMS of the Year 2017
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Recent citations in the news

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

InfluxData releases InfluxDB Notebooks to improve communication for software development teams - Help Net Security
16 April 2021, Help Net Security

Time Series Databases Software Market Development Trends, Demand, Industry Projections by Companies – Warp 10, Amazon Timestream, Trendalyze, DataStax, Prometheus, InfluxDB, QuasarDB, Actian X, Axibase Time Series Database, InfluxData and kdb+
18 April 2021, SoccerNurds

Reasons to switch to the InfluxDB time-series database, explored
25 August 2020, TechHQ

InfluxData Advances Possibilities of Time Series Data With General Availability of InfluxDB 2.0
10 November 2020, Business Wire

provided by Google News

Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

provided by Google News

Rockset Enables Real-Time Analytics for MySQL and PostgreSQL
17 April 2021, DevPro Journal

Google Cloud Support Now Available on Crunchy Bridge
19 April 2021, PRNewswire

Guest View: OLAP + OLTP = ...PostgreSQL?
12 April 2021, SDTimes.com

Crunchy Certified PostgreSQL 12 Achieves Common Criteria Evaluation Assurance Level (EAL) 2+ Certification
29 March 2021, PRNewswire

How PostgreSQL has popularized open source enterprise databases [Q&A]
7 April 2021, BetaNews

provided by Google News

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