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DBMS > InfluxDB vs. OpenTSDB

System Properties Comparison InfluxDB vs. OpenTSDB

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Our visitors often compare InfluxDB and OpenTSDB with Prometheus, Graphite and TimescaleDB.

Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsScalable Time Series DBMS based on HBase
Primary database modelTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.08
Rank#34  Overall
#1  Time Series DBMS
Score2.47
Rank#104  Overall
#6  Time Series DBMS
Websitewww.influxdata.com/­time-series-platform/­influxdbopentsdb.net
Technical documentationdocs.influxdata.com/­influxdbopentsdb.net/­docs/­build/­html/­index.html
Developercurrently maintained by Yahoo and other contributors
Initial release20132011
Current release1.7.5, March 2019
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoLGPL
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.
Implementation languageGoJava
Server operating systemsLinux
OS X infothrough Homebrew
Linux
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsnumeric data for metrics, strings for tags
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.nono
Secondary indexesnono
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsHTTP API
JSON over UDP
HTTP API
Telnet API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlySharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.yes infoDepending on used storage engineno
User concepts infoAccess controlsimple rights management via user accountsno
More information provided by the system vendor
InfluxDBOpenTSDB
Specific characteristicsInfluxData includes the open source time-series database InfluxDB . It supports high...
» 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 , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsFastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» 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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More resources
InfluxDBOpenTSDB
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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Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Conferences and events

InfluxDays
London, 13-14 June 2019

Recent citations in the news

InfluxData Opens InfluxDB Cloud 2.0 to Public Beta
7 May 2019, DevOps.com

The OAS Data Historian Now Supports the InfluxDB Time Series Database Engine - Press Release
23 May 2019, Digital Journal

How the Aquicore Solution Cuts Energy Waste and Improve Tenant Comfort Levels with InfluxDB Cloud
9 May 2019, ADT Magazine

What's the point: Firebase, InfluxDB Cloud, Google Cloud TPU pods
8 May 2019, DevClass

InfluxData Expands to Austin
1 May 2019, Business Wire

provided by Google News

Pinterest Switches from OpenTSDB to Their Own Time Series Database
16 September 2018, InfoQ.com

Metrics Collection and Monitoring at Robinhood Engineering
23 May 2017, InfoQ.com

Inside Stack Overflow's Monitoring Systems
21 December 2018, InfoQ.com

The new rise of time-series databases
26 February 2018, Smart Industry

Glances: Keep a good eye on your code with this Python monitoring tool
1 August 2018, JAXenter

provided by Google News

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