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 3.0 where you need it
InfluxDB Cloud Serverless
Our fully-managed service for small workloads with InfluxDB offers multi-tenancy, elastic scaling, SQL support, and usage-based pricing.
Get started for freeInfluxDB Cloud Dedicated
Offers the benefits of a fully-managed TSDB, 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 ConceptInfluxDB Clustered
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.
Run a Proof of ConceptWhy InfluxDB
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
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.
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.
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
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.
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.
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 Operational 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.
“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.”
“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.”
Do you need a self-managed database and custom configurations?
Run a proof of concept.
