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DBMS > InfluxDB

InfluxDB System Properties

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Editorial information provided by DB-Engines
NameInfluxDB
DescriptionDBMS for storing time series, events and metrics
Primary database modelTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overview
Technical documentationdocs.influxdata.com/­influxdb
Initial release2013
Current release2.7.5, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemsLinux
OS X infothrough Homebrew
Data schemeschema-free
Typing infopredefined data types such as float or dateNumeric data and Strings
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.no
Secondary indexesno
SQL infoSupport of SQLSQL-like query language
APIs and other access methodsHTTP API
JSON over UDP
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engine
User concepts infoAccess controlsimple rights management via user accounts
More information provided by the system vendor
InfluxDB
Specific characteristics

InfluxData is the creator of InfluxDB, the open source time series database. It is purpose-built to handle the massive volumes of time-stamped data produced by IoT devices and sensors, applications, containers, VMs and networks. With InfluxDB, developers can build real-time applications for IoT, analytics and cloud-native services quickly and at scale.

InfluxData is focused on developer happiness and meeting developers where they are – in their language of choice, using their preferred tools and wherever they are building applications: in the cloud, on-premises, or locally. InfluxData is also committed to helping developers get up and running faster, so they can focus on other things.

InfluxDB customers range from startups to Fortune 500 enterprises with use cases that span every industry vertical, such as consumer and industrial IoT, security, fintech, renewable energy, and more. There are currently over 750,000 daily active instances of InfluxDB OSS and over 50,000 registered developers using InfluxDB Cloud globally; the community continues to grow rapidly every year.

Competitive advantages

Time to Value

InfluxDB is available in all the popular languages and frameworks, enabling developers to get up and running in minutes, not days or weeks. With easy-to-use quickstarts and documentation, developers can build applications that are open, extensible and easy to deploy.

Community & Ecosystem

InfluxDB has the largest community of cloud and open source developers for time series database solutions. By enabling the community to contribute to and integrate with other ecosystems, InfluxDB has greater resilience, quality, usage and configurability across all use cases. Telegraf, InfluxDB’s open source collection agent, currently has more than 300 plugins that allow developers to not only read and write metrics to and from hundreds of data sources, but transform and filter these metrics as well.

Real Action in Real-Time

InfluxDB delivers visibility with real-time analytics so developers can quickly act on their data, such as identifying patterns, predicting future outcomes, and turning insights into action.

Typical application scenarios

IoT & Sensor Monitoring

Developers are witnessing the instrumentation of every available surface in the material world – from machines to humans. These devices and sensors are generating unprecedented volumes of data and software needs to scale to meet this demand. Developers using InfluxDB can harness the insights data provides in the context of time, enabling them to identify and anticipate trends over time, ensuring mission-critical processes are more consistent, efficient and reliable.

DevOps Monitoring & Tools for Developers

Emerging trends such as microservices, containerization, elastic storage, Software Defined Networking, API performance, Auth failures, Hybrid clouds, etc., all keep pushing the boundaries of what constitutes DevOps Monitoring and tooling for devs. The number of endpoints and the variety of metrics that need monitoring force a reconsideration of the one-size-fits all mentality. Modern DevOps monitoring and DevTools need to be flexible enough to handle unique application and infrastructure metrics on a common framework.

Real-Time Analytics

The volume of metrics and events is beyond what any human is able to realistically interpret and take action. Machine learning with real-time analytics is crucial in finding the signal from the noise. Whether the organization needs real-time analytics to buy and sell equities, perform predictive maintenance on a machine before it fails, adjust prices based on customer behavior: processing, analyzing and acting on the time series data in real-time is the problem to solve.

Key customers

InfluxData has more than 1,900 paying customers, including customers include MuleSoft, IBM, PayPal, Siemens, Tesla.

Learn more InfluxData's customers across every industry here.

Market metrics

Fastest-growing database to drive 25,500 GitHub stars

Over 750,000 daily active instances

Licensing and pricing models

Open source core with closed source clustering available either on-premise or on the cloud as a managed service. All offerings are available via subscription. 

News

Making Most Recent Value Queries Hundreds of Times Faster
18 March 2024

Telegraf 1.30 Release Notes
15 March 2024

Tale of the Tape: Data Historians vs Time Series Databases
13 March 2024

Mastering Time Series Data Querying: New InfluxDB University Courses on SQL and InfluxQL
11 March 2024

Powering the Future: How ju:niz Energy Leveraged InfluxDB to Optimize Renewable Energy Systems
8 March 2024

Related products and services

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

More resources
InfluxDB
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

show all

Recent citations in the news

Amazon Timestream for InfluxDB is now generally available
15 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
15 March 2024, Business Wire

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
15 March 2024, AWS Blog

provided by Google News



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