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

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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

300+ plugins

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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.

Brian Gilmore

Brian Gilmore

Brian Gilmore is Director of IoT and Emerging Technologies at InfluxData, the creators of InfluxDB. He has focused the last decade of his career on working with organizations around the world to drive the unification of industrial and enterprise IoT with machine learning, cloud, and other truly transformational technology trends.

Managing Time Series Data in Industrial IoT

Thsi article was originally published in The New Stack. Posted here with permission. The industrial revolution was a watershed period in human history. The shift from piecemeal, cottage-industry work to mechanized manufacturing transformed the way humans work. Since the 18th century,...

Where Will Process Historians Fit in the Modern Industrial Technology Stack?

When Rolls Royce Power Systems recently needed to improve its operational efficiency within its manufacturing plants, it didn’t expand its use of a legacy process historian or purchase historian connectors to export data to their business intelligence systems. Instead, it decided...

A Platform Gaining Momentum: Announcing New InfluxDB Features for Industrial IoT

Data – specifically time series data – continues to be the key ingredient for successful digital transformation. No matter the industry, time series data helps companies understand the activities and output of people, processes and technologies impacting their business. The effective...

Industry 4.0 Defined and Explained

With Industry 4.0 fundamentally transforming manufacturing systems and processes through IIoT technologies, manufacturers large and small are seeking the most efficient ways to reap its benefits. Potential gains include optimizing operations, generating data-driven insight, creating new revenue streams, and accelerating innovation....

Why I Joined InfluxData - Brian Gilmore

I’ve worked on golf courses, in music stores, as a hospital administrator, and in Marine Husbandry and Life Support. I never finished college, have collected several comically dated tattoos, and am proud of all of it. My family and friends have...

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