Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

InfluxDB

InfluxDB is a time series database (TSDB) developed by the company InfluxData. It is used for storage and retrieval of time series data in fields such as operations monitoring, application metrics, Internet of Things sensor data, and real-time analytics. It also has support for processing data from Graphite.

History, Events, Measurement & Companies

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around InfluxDB. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
InfluxData
License
MIT, Apache 2.0, Proprietary
Operating system
Cross-platform
Release
24 September 2013; 12 years ago (2013-09-24)
Repository
github.com/influxdata/influxdb
Stable release
3.9.2 / 30 April 2026; 3 months ago (30 April 2026)

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Technical overview

Events

Licensing

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

InfluxDB

Nodes23
Edges22
Triples60
Avg. degree1.91
Density0.086957
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

InfluxDB

Top relations

related to history · 13
InfluxDB → Another, Combinator-backed, Errplane, In, In February, InfluxData, InfluxData Inc, Mayfield Fund, November, Sapphire Ventures, September, Series, Trinity Ventures
related to Events · 8
InfluxDB → Companies, InfluxData, InfluxDays, London, New York, San Francisco, The InfluxDays, Those
related to overview · 8
InfluxDB → Continuous Queries, Each, Finally, Points, Retention, SQL-like, Values, When
related to InfluxDB 3 changes open source offerings · 5
InfluxDB → Core, Enterprise, In, InfluxData's, InfluxDB OSS
related to Line protocol · 5
InfluxDB → Graphite, HTTP, It, TCP, UDP
related to Closed source clustering components · 3
InfluxDB → Community, In May, InfluxData
related to Licensing · 3
InfluxDB → Contributors, InfluxData Inc, The Contributor License Agreement
related to External links · 2
InfluxDB → GitHub, Official
Developer · 1
InfluxDB → InfluxData
License · 1
InfluxDB → MIT, Apache 2.0, Proprietary

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

series influxdata data time software written source license database round million points version rust events closed open graphite errplane funding

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
InfluxDBDeveloperInfluxData1.00infobox
InfluxDBLicenseMIT, Apache 2.0, Proprietary1.00infobox
InfluxDBOperating systemCross-platform1.00infobox
InfluxDBRelease24 September 2013; 12 years ago (2013-09-24)1.00infobox
InfluxDBRepositorygithub.com/influxdata/influxdb1.00infobox
InfluxDBStable release3.9.2 / 30 April 2026; 3 months ago (30 April 2026)1.00infobox
InfluxDBTypeTime series database1.00infobox
InfluxDBWebsiteinfluxdata.com1.00infobox
InfluxDBWritten inRust1.00infobox
operations monitoringinstance ofIt is used for storage and retrieval of time series data in fields0.80text
application metricsinstance ofIt is used for storage and retrieval of time series data in fields0.80text
Internet of Things sensor datainstance ofIt is used for storage and retrieval of time series data in fields0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.