InfluxDB 3 Enterprise

High-performance time series database.
Start fast, scale faster.

InfluxDB 3 Enterprise is a high availability, fully-featured database that runs in a single node.

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Engineered for performance. Designed for flexibility.

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Deploy Anywhere

Run any workloads on bare metal, VMs, or Kubernetes

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Built-in Processing Engine

Embedded Python for real-time analysis and advanced data transformation

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Powerful Real-Time Performance

Scale to billions of data points without impacting performance

Built for developers, from startup to scale-up

Scalability, security, and high availability, all in a single node

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Enterprise-Grade Scalability

  • High Availability
  • Read replicas
  • Seamless performance & scalability
  • Long-range data compaction saves on storage costs
  • Query the latest values in <10ms with Last Value Cache
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Fine-Grained Security

  • End-to-end encryption
  • SOC 2, ISO 27001, and ISO 27018 certified
  • Powerful access controls & advanced tokenization all coming soon
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Easy Integration with the Tools You Love

  • Native SQL
  • Built to work seamlessly with AI/ML tools
  • Detect & respond to anomalies in real-time
  • Simple integration, powered by Telegraf, our popular open source data connector with 5B+ downloads
  • Simple migration from InfluxDB 1.x & 2x to InfluxDB 3 Enterprise. Learn More

Explore the new InfluxDB 3 UI

A built-in UI to query, manage, and visualize your time series data—without the complexity

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UI-dashboard

Personalized onboarding

Get started your way

Explorer offers a personalized onboarding experience tailored to your level of expertise—whether you're new to time series or already familiar with InfluxDB 3. Get up started in minutes with just the guidance you need.

Configuration & Management

Handle routine tasks, minus the friction

Explorer makes it easy to handle everyday admin tasks—like creating databases, managing tokens, and generating server commands—without writing a single line of code.

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UI-dashboard

Visualize your data instantly

Query, explore, and visualize—faster

Run SQL or natural-language queries for instant answers. Easily explore your schema and visualize trends, turning high-volume time series streams into real-time decisions.

Designed to scale. Built to adapt.

InfluxDB 3 Enterprise is built on a cloud-native, diskless architecture that removes the limits of traditional storage. It’s easy to deploy, scales effortlessly, and cuts out the complexity of managing clusters. Its stateless design keeps operations simple and adapts to any environment.

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Scale Seamlessly

Separation of compute from storage enables seamless scaling. Easily add new nodes without friction or disruption.

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High Availability, Low Overhead

Instant Failover: Nodes share a single object store—if one fails, another picks up with zero data loss or downtime.

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Petabyte Storage, Simplified

Eliminate existing storage limits with persistent object storage. Ingest unlimited data and retain it for as long as you need, without re-architecting your system.

Unlock the power of InfluxDB 3—instantly

High-Speed Ingest

Ingest billions of series with fewer CPUs and less RAM

Real-Time Querying

Query across any time range–from real-time to historical data analysis

Unlimited Cardinality

Ingest, transform, and query unlimited time series with unmatched speed and flexibility

Low-Cost Object Storage

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

Seamless Integration

Integrate with the tools you love via Python-based plugin systems

Native SQL

Analyze data using simple SQL or InfluxQL, a SQL-like language for time series data

Slash storage costs by up to 90% with InfluxDB 3

InfluxDB 3 separates compute from storage, allowing efficient management of both active and historical data. With compressed Parquet files and storage in Amazon S3, it reduces storage footprints up to 4.5x, delivering massive cost savings without impacting performance.

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Open data standards drive performance and interoperability

InfluxDB 3 is built in Rust and the FDAP stack—Flight, DataFusion, Arrow, and Parquet—leveraging Apache-backed technologies to efficiently ingest, store, and analyze time series data at any scale.

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Flight for efficient columnar data transfer

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DataFusion for high-performance querying

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Arrow for optimized in-memory columnar analytics

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Parquet for high-compression storage