InfluxDB

Manage high-volume, high-velocity time series data in one purpose-built database without sacrificing performance.

Take the complexity out of time series data management

Turn 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 increase.

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.

Flexible deployment across any infrastructure

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Self-managed, single-node time series database. Built for organizations that need enterprise-grade features like optimized compaction, read replicas, and high availability.

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Fully-managed time series databse. Get up and running fast with no upfront costs or infrastructure to provision. Ideal for growing workloads, it offers multi-tenancy, elastic scaling, SQL support, and usage-based pricing.

Custom Deployment

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Customize your on-premises or cloud deployment. Get full control, scale, enterprise-grade security, enhanced support, and more.

Why InfluxDB

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Purpose-built +

Purposed-built for time series data, InfluxDB handles millions of data points per second with unlimited cardinality, capturing every detail without performance loss. Built for sensor, systems and applications data with enterprise-grade performance.

Vibrant ecosystem of tools for developers +

Build faster and integrate seamlessly with InfluxDB's developer-first approach. Write queries in familiar SQL, connect to your favorite tools like Grafana, Tableau, Apache Superset, and integrate with streaming platforms like Kafka and MQTT.

The Processing Engine runs Python directly in the database for real-time transformation and anomaly detection, eliminating complex ETL pipelines.

Open data access +

Store data as Apache Parquet with Iceberg support for direct analytics access. Eliminate data siloes and simplifies the integration of time series data into modern data stacks without complex ETL pipelines.

Reduced total cost of ownership +

Reduce storage cost with advanced compression and object storage. Separation of compute and storage means you pay only for what you need. Automated lifecycle management reduces operational overhead significantly.

Secure and reliable +

Encrypt data at rest and in motion with SOC 2 Type II standards, and ISO/IEC 27001:2013 and ISO/IEC 27018:2019 certifications.

Integrates seamlessly with your existing stack

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.

5K+ integrations make interoperability easy with our popular (5B+ downloads), open source Telegraf agent. Start with the MQTT input plugin, MQTT output plugin, OPC-UA, SNMP, Jenkins, Kafka, and more.

Developers recognize InfluxDB as the leading time series database

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Developers use InfluxDB for:

IoT Monitoring and Analytics

Collect real-time sensor data from factories, satellites, and smart devices. Detect anomalies instantly, optimize processes automatically, and prevent costly downtime with predictive insights.

Network Monitoring

Monitor mission-critical infrastructure in real-time. Identify performance degradation and connectivity issues and repair them before they impact users.

SaaS Analytics & Monitoring

Power customer-facing analytics and observability features. Deliver real-time insights that drive user engagement while monitoring your own services for peak performance and reliability.

Loved by developers, trusted by enterprises

[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.

InfluxDB is a high-speed read and write database. So think of it. The data is being written in real time, you can read in real time, and when you’re reading it, you can apply your machine learning model. So, in real time, you can forecast, and you can detect anomalies.

We didn’t have a great way to figure out and quickly diagnose what endpoint was driving that problem… That’s how we started thinking about monitoring APIs. And that’s what led us down this journey with InfluxData.

InfluxDB

Take the complexity out of time series data management