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Platform

InfluxDB enables real-time analytics by serving as a purpose-built database that optimizes processing and scaling

InfluxDB 3.0 Overview

Better ingest performance, sub-second queries, and lower storage costs

Integrations

300+ plugins for easy interoperability

Use with popular client libraries, tools, and open source projects

Easy Data Collection

Telegraf collects data from 300+ technologies using open source

See performance comparison

In the Cloud

InfluxDB Cloud Serverless

For startups and small teams
Start small, pay for what you use

InfluxDB Cloud Dedicated

For enterprises and organizations
Dedicated resources, scale, and advanced security

On-Prem

InfluxDB Clustered

For enterprises and organizations
Scale, enterprise features, control where you run

Find the right product

InfluxDB by Use Cases

Network monitoring IoT Monitoring and Analytics SaaS Operational Monitoring

InfluxDB by Industries

Manufacturing Telecommunications Energy and Utilities

InfluxDB Customers

Customers Become an InfluxDB Inventor

Tech papers, deep dives, videos, and more

InfluxDB University

Free trainings

Options for running InfluxDB on AWS

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Join the largest time series developer community

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It’s About Time.
Real-time insights at any scale.

Nate Isley

Nate Isley

Nate joined the world s leading time series database platform team after fifteen years of delivering Application Performance Management (APM) solutions. His years of monitoring All The ThingsTM as a Product Manager, Consultant, and Sales Engineer gave him a solid time series foundation, but he s looking forward to new use cases. While Nate s primary product manager duties focus on InfluxData's on-premise commercial offering, he is excited to help customers solve problems wherever they encounter them.

Exploring Geo-Temporal Flux

Flux recently added geo-temporal capabilities to its arsenal, and I have been exploring how to effectively use this new combination of time series and geolocation data. To help get you started, we’ll cover a geo-temporal overview and then look into a...

How to Expand Data Collection for InfluxDB with CloudFormation Templates

In a previous post, I demonstrated how to call InfluxDB APIs from AWS Lambda, but the setup is fairly manual and the results are not portable. Ideally, we as a community can expand and share ways to collect and process time...

Extending InfluxDB with Serverless Functions

Data ingestion and data analysis are the yin and yang of a time series platform. There are many resources to help you ingest data. Typical ingestions are agent-based, imports via CSVs, using client libraries, or via third-party technologies. Once your time...

Using Serverless Flux to Monitor Website Response Times

My holiday challenge to explain serverless InfluxDB to my family produced a useful Flux script anyone can put to work today. Before we dive into the code, let me outline the high-level approach to gathering and visualizing how long it takes...

Explaining InfluxData at Family Holidays

After trying to explain InfluxDB to family between hors d’oeuvres, I quickly realized I could not simply dive into Flux. I needed to show, not tell. Over two blogs, I’ll dig into how I explained InfluxData for non-technical folks, a serverless...

Using Secret Stores to Secure Flux Access

Multi-data source Flux opens up endless variations in time series analysis, but as with all data access, new communications open potential attack vectors for shady actors. To secure your sensitive credentials, use InfluxDB’s integrated secret store and Flux’s new secrets library....

Using Flux to Write Data Out to SQL Data Stores

As discussed in multi-data source Flux, Flux can now get data out of RDBMs with SQL.from() and use it to perform deeper analysis. In many cases, results from crunching data lend themselves naturally to time series storage. In others, the results are...

Use Flux to Group, Shape, and Analyze Your Time Series Data

Flux is a programming language designed from the ground up for time series analysis. Traditionally, grouping, shaping, and performing mathematical operations across large dynamic time series datasets is cumbersome. Flux’s goal is to make it working with these datasets much more...

Multi-Data Source Flux Introduced in InfluxDB 2 Alpha 14

As our co-founder Paul wrote extensively in InfluxDB 2.0’s Alpha Release announcement, we believe Flux will play an important role in combining time series data with many different data sources. Flux’s first official multi-data store step is InfluxDB 2.0 Alpha 14’s...

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