InfluxDB for Consumer IoT
The consumer IoT solution using InfluxDB provides customers with insights and analytics into devices—collecting, storing, and visualizing sensor data.
#1
Time Series Database
Source: DB Engines
1B+
Downloads of InfluxDB
Take the complexity out of time series data management
Try InfluxDBTurn high-volume, high-velocity, high-resolution time series data into actionable intelligence without sacrificing performance.
Get high-speed ingestion, real-time querying, and seamless scalability in a highly performant time series database that can handle unlimited volumes of time series data, even as data complexity and cardinality increases.
Run InfluxDB at scale in any environment in the cloud, on-premises, or at the edge. InfluxDB consists of the core database and storage engine, an API, and an ecosystem of tools and integrations to manage time-stamped data. Easily integrate with 5K+ prebuilt connections using Telegraf, our open source agent with 5B+ downloads.
Run InfluxDB 3 where you need it
Start for free, scale in seconds
Start NowFor small workloads and getting started
Deploy anywhere: on-prem, private cloud, edge, or multi-tenant cloud.
Secure, dedicated cloud infrastructure
Run a Proof of ConceptFor scaled workloads
Fully-managed, single-tenant service with unlimited scale, high availability, secure private connections, and enhanced Support.
Own your data with enterprise features
Run a Proof of ConceptFor scaled workloads
Control your infrastructure with unlimited scale, high availability, enterprise-grade security, and enhanced Support. On-prem, private cloud, and edge deployment.
Why InfluxDB
Limitless data collection
Ingest and analyze millions of time series data points per second without limits or caps.
Predict and prevent
Maximize uptime and prevent costly failures with real-time monitoring and preventative insights.
Real-time query
Data is immediately available for querying in InfluxDB, enabling real-time SQL queries and lightning-fast responses.
Why a purpose-built time series database?
Sensor data is all time-stamped to help you understand how your processes and equipment are performing over time to help further innovation and improvement.
Why InfluxDB for consumer IoT?
Organizations are keen on providing their end customers with real-time access to the data being collected through their websites and mobile apps. People are using the time-stamped data to reduce energy consumption, improve sustainability practices, and save money.
Monitoring and tracking
Tracking battery performance, turbine production, package delivery status, and generally visually monitoring sensor data provides incredible capabilities to businesses and their customers. This is usually the first step in any successful IoT project.
Analytics
Using historical data from sensors to gain insights that can be applied to the current situation creates a major competitive advantage. Predictive maintenance, optimized traffic routing, reduced churn management, and enhanced water conservation are all possible with IoT analytics.
Action and control
With sensors generating the speed and velocity of events, businesses want to act on this data in real time without human interaction. For example, automatically shutting down a pump if a leak is detected or changing wind turbine direction based on forecasted wind speed all create immediate business advantages.
Related resources for developers
InfluxDB Integrations
Free InfluxDB training
“You can design your database in several different ways. It’s just a matter of trying and seeing which one works best for you.”
Dr. Angelo FaustiSoftware Engineer, Vera C. Rubin Observatory
Open data standards drive performance and interoperability
InfluxDB 3 is built in Rust and the FDAP stack—Flight, DataFusion, Arrow, and Parquet—leveraging Apache-backed technologies to efficiently ingest, store, and analyze time series data at any scale.
Get InfluxDBF
Flight for efficient columnar data transfer
D
DataFusion for high-performance querying
A
Arrow for optimized in-memory columnar analytics
P
Parquet for high-compression storage
InfluxDB’s columnar database supports time series data at a lower TCO
See ways to get started
Loved by developers, trusted by enterprises
65M+
daly events processed
45x
more resource efficient
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“[We] long used InfluxDB open source... Moving to commercial InfluxDB was a strategic move to unify our data infrastructure, ensuring we have the reliability, scalability, and real-time performance to keep pace with production... and proactive maintenance.”
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Rajeev Tomer
Sr. Manager of Data Engineering
50%
lower total cost of ownership
100K
real-time metrics with simplified deployment
TERÉGA
Teréga Replaced Its Legacy Data Historian with InfluxDB
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WIDEOPENWEST
"I was blown away with how easy it was to install and configure InfluxDB. The clustering was easy. The documentation was great, and the support has been second to none."
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Engineer III, Software and Product Integration Engineering
45%
Less equipment downtime
10%
Reduced waste
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Ricardo Kissinger
Head of IT Infrastructure and IT Security
