InfluxDB for IoT
Manage all types of IoT data in a single, purpose-built database.
Every IoT use case is a time series use case
IoT - Internet of Things - is increasingly broad. IoT sensors, systems, and applications generate data that change over time.
The exponential scale of IoT sensor deployment requires high storage and heavy data processing, and crosses nearly every industry from agriculture to oil & gas, to power generation, to consumer goods, and transportation.
Built for developers, InfluxDB is critical to many IoT solutions because it delivers high throughput data ingestion, high data compression, and real-time querying of that same data.
Fast just got faster. InfluxDB 3.0 is raising the bar.
Ingest, query, store, and analyze all types of time series data – metrics, events, traces – in real-time with unbounded cardinality in a single platform.
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.
Run InfluxDB 3.0 where you need it
In the Cloud
InfluxDB Cloud Dedicated
The benefit of a fully managed time series database, running on cloud infrastructure dedicated to, and optimized for your workloads.
On Premises
InfluxDB 3.0 Clustered
InfluxDB Clustered is a self-managed time series database cluster delivered as software for on-premises or private cloud deployment.
At the Edge
InfluxDB 3.0 Edge
A self-managed time series database single node delivered as software for local or edge deployment.
Why InfluxDB
Purpose-built
We built InfluxDB 3.0 as a columnar data structure on Apache Arrow, making it more scalable, resilient, and performant than ever before. Ingest and query data at massive scale to power real-time analytics applications.
Understand InfluxDB 3.0 architecture
Vibrant ecosystem of tools for builders
Build with InfluxDB 3.0 in the way that suits you best. Use familiar languages (like SQL), tools (Grafana, Tableau and Apache Superset), and open ecosystems to simplify data pipelines, build and integrate applications faster, and maximize the value of time series data.
Open data access
In InfluxDB 3.0, data is stored as Parquet files. An open data sharing specification like Iceberg / Delta Sharing allows direct access to these files for analytics, BI, and ML workloads. This eliminates data siloes and simplifies integration of time series data into modern data stacks without complex ETL pipelines.
Reduced total cost of ownership
InfluxDB 3.0 saves data as Apache Parquet files. Take advantage of Parquet’s superior data compression to store more high fidelity data in less space, which reduces your total costs of ownership.
Save on Data Storage Costs
Secure and reliable
InfluxDB 3.0 encrypts data at rest and in motion so it’s always safe. It complies with SOC 2 Type II standards, and has ISO/IEC 27001:2013 and ISO/IEC 27018:2019 certifications.
Connect InfluxDB to your systems
Maximize your productivity with familiar tools, including a RESTful API, 12+ client libraries, open source integrations, and native SQL support.
Connect to Google Data Studio, and other BI or data warehouses with open source ODBC and JDBC plugins based on Flight SQL.
Seamless integration made easy with 300+ plugins. Including MQTT input plugin, MQTT output plugin, OPC-UA, ThingWorx Kepware, Modbus, Kafka and more.
Developers recognize InfluxDB as the leading time series database
Run a Proof of Concept
Developers use InfluxDB for:
Industrial IoT
Providing real-time insight and analytics into manufacturing processes — collecting, storing, and visualizing sensor data from sensors, devices, and industrial equipment.
Enterprise IoT
Collecting sensor metrics from smart buildings, campuses, and smart cities. Enabling business apps to connect with physical objects and enterprise systems.
Consumer IoT
Using sensor metrics ingested from DIY projects and smart home devices to gain cost, operational, and performance insights.
Siemens uses InfluxDB to store wind energy IoT sensor data for its renewable power platform.
Aquicore is the leading IoT-driven smart asset operations platform for commercial real estate. They offer a cloud-based platform to track, analyze and predict building and energy data in real time to unlock portfolio-grade insights.
Vleemo uses InfluxDB to collect IoT data from wind turbines powering its renewable energy analysis platform.
