InfluxDB Cloud

The #1 Time Series Database For IoT

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.

iot

Easy to build, automatically scale, free to start

InfluxDB is a fully-managed, performant, time series data platform that manages all types of  time series data, including metrics, events.

Ingest billions of data points in real-time with unbounded cardinality, and store, analyze, and act on that data – all in a single database. Native SQL support accelerates the getting started process.

Let us worry about infrastructure so you can focus on what matters most – your application.

Developers use InfluxDB Cloud for:

edge

Industrial IoT

Providing real-time insight and analytics into manufacturing processes — collecting, storing, and visualizing sensor data from sensors, devices, and industrial equipment.

enterprise

Enterprise IoT

Collecting sensor metrics from smart buildings, campuses, and smart cities. Enabling business apps to connect with physical objects and enterprise systems.

Consumer

Consumer IoT

Using sensor metrics ingested from DIY projects and smart home devices to gain cost, operational, and performance insights.

Why InfluxDB Cloud

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.

Connect-InfluxDB-to-your-systems

Developers recognize InfluxDB as the leading time series database

Want to learn more about InfluxDB Cloud for IoT?

Loved by developers, trusted by enterprises

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.