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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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InfluxDB Blog

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

Andrew Lamb

Andrew Lamb

After spending many years as C/C++ systems programmer (databases and compilers), and a stint working on Machine Learning startups (as one does), Andrew now works at InfluxData with Paul Dix and a talented team of engineers on InfluxDB IOx, a new engine for time series data.

Making Most Recent Value Queries Hundreds of Times Faster

This post explains how databases optimize queries, which can result in queries running hundreds of times faster. While we focus on one specific query type that is important to InfluxDB 3.0, the optimization process we describe is the same for any...

Flight, DataFusion, Arrow, and Parquet: Using the FDAP Architecture to build InfluxDB 3.0

This article coins the term “FDAP stack”, explains why we used it to build InfluxDB 3.0, and argues that it will enable and power a generation of analytics applications in the same way that the LAMP stack enabled and powered a...

Aggregating Millions of Groups Fast in Apache Arrow DataFusion

TLDR Grouped aggregations are a core part of any analytic tool, creating understandable summaries of huge data volumes. Apache Arrow DataFusion’s parallel aggregation capability is 2-3x faster in version 28.0.0 for queries with a large number (10,000 or more) of groups....

InfluxDB 3.0: System Architecture

InfluxDB 3.0 (previously known as InfluxDB IOx) is a (cloud) scalable database that offers high performance for both data loading and querying, and focuses on time series use cases. This article describes the system architecture of the database. Figure 1 shows...

Metrics, Logs and Traces: More Similar Than They Appear?

This article was originally published in The New Stack and is reposted here with permission. They require different approaches for storage and querying, making it a challenge to use a single solution. But InfluxDB is working to consolidate them into one....

Querying Parquet with Millisecond Latency

We believe that querying data in Apache Parquet files directly can achieve similar or better storage efficiency and query performance than most specialized file formats. While it requires significant engineering effort, the benefits of Parquet’s open format and broad ecosystem support...

Rust Object Store Donation

Today we are happy to officially announce that InfluxData has donated a generic object store implementation to the Apache Arrow project. Using this crate, the same code can easily interact with AWS S3, Azure Blob Storage, Google Cloud Storage, local files,...

Using Rustlang's Async Tokio Runtime for CPU-Bound Tasks

This article was originally published in The New Stack on January 14, 2022 and is being republished here with permission. Despite the term async and its association with asynchronous network I/O, this blog post argues that the Tokio runtime at the heart of...

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Time Series Data Analysis: Definitions and Best Techniques in 2024

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