InfluxDB

Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

Start Now
graph

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 to run real-time queries, power observability dashboards, automate monitoring and alerting, and supply operational data to AI/ML pipelines.

Fully-managed

InfluxDB Cloud Serverless

For smaller workloads on shared infrastructure, pay as you go

Start for Free

Self-managed

InfluxDB 3 Enterprise

High-performance time series database with highly available, multi-node deployment

Try for Free

InfluxDB is the engine behind the real-time data pipeline.

Real-time AI requires massive streams of time series. This allows data to flow continuously through ingest, analysis, compression, and integration—fueling smarter, more autonomous systems.

See ways to get started

High-Speed Ingest

Ingest millions of series without impacting performance.

High-speed_ingest

Real-Time Analytics

Transform and analyze unlimited series in real-time.

Real-time_analytics

Eviction and Lakehouse Integration

Automatically evicts cold data and streams it into lakes, warehouses, and AI/ML pipelines.

lakehouse

Compression and Downsampling

Best-in-class compression. Parquet files store more data with less space.

Compression-downsampling

Why InfluxDB

Try For Free
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.

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 pluginOPC-UASNMPJenkinsKafka, and more.

influxdb3 architecture

Developers recognize InfluxDB as the leading time series database

Run a Proof of Concept

Developers use InfluxDB for:

graph

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.

graph

Network Monitoring

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

graph

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.