InfluxDB Cloud

Manage all types of time series data in a single, purpose-built database.

Time Series Database

Source: DB Engines

1B+

Downloads of InfluxDB

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Simple to deploy, effortless to scale, zero upfront cost

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, fully-managed time series database that can handle unlimited volumes of time series data, even as data complexity and cardinality increase.

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

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.

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Developers recognize InfluxDB as the leading time series database

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.

With InfluxDB Cloud Dedicated, the great thing is that we don't need to think about data storage costs or usage anymore because data storage gets way cheaper.