InfluxDB
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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 operational 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.
Run InfluxDB 3 where you need it
Get Early Alpha Access
Self-managed, single-node time series database. Built for organizations that need enterprise-grade features like optimized compaction, read replicas, and high availability.
Get Started for Free
Our fully-managed service for small workloads with InfluxDB offers multi-tenancy, elastic scaling, SQL support, and usage-based pricing. CTA Get started for free.
Run a Proof of Concept
Offers the benefits of a fully-managed time series database, running on cloud infrastructure dedicated to and optimized for your workloads. Built for organizations that need scale and enterprise-grade security.
Run a Proof of Concept
InfluxDB Clustered is a self-managed time series database cluster delivered as software for on-premises or private cloud deployment. Peak performance and scale for organizations that need full control.
Why InfluxDB
Power real-time intelligence at any scale. InfluxDB is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards. Ingest and query massive volume in real-time at a fraction of the cost.
Understand InfluxDB 3.0 architectureBuild with InfluxDB 3.0 in the way that suits you best. Use familiar languages (like SQL), tools (Grafana, Tableau, Apache Superset, Kafka, MQTT, AWS Fargate, etc.), and open ecosystems to simplify data pipelines, build and integrate applications faster, and maximize the value of time series data.
InfluxDB 3.0 stores data 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 the integration of time series data into modern data stacks without complex ETL pipelines.
InfluxDB 3.0 saves data as Apache Parquet files. Parquet’s superior data compression allows you to store more high-fidelity data in less space, reducing your total cost of ownership.
Save on Data Storage CostsInfluxDB 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.
Developers recognize InfluxDB as the leading time series database
Run a Proof of Concept
Developers use InfluxDB for:
IoT Monitoring and Analytics
Collect sensor and device metrics from factories, manufacturing plants, satellites, and smart devices to optimize processes and power predictive modeling.
Network Monitoring
Track mission-critical systems and devices to gain better insight into network performance. Identify and resolve issues like speed degradations and connectivity failures before they impact users.
SaaS Operation Monitoring
Use InfluxDB as the time series backend for building software-as-a-service applications to provide observability and real-time analytics for mission-critical applications and services that directly impact customers.
Loved by developers, trusted by enterprises
We decided, from a monitoring perspective, that we are... going with a best of breed setup. So, we put the best tools in place, like InfluxDB for metrics monitoring.
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.
