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

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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
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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.

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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.

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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
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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.

InfluxDB Architecture Diagram

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

G2 - Leader Winter 2024
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G2 Mid-Market Leader
G2 - Users Most Likely To Recommend
G2 - Best Usability
G2 - Best Relationship

Run a Proof of Concept

Developers use InfluxDB for:


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