InfluxData

San Francisco, CA, USA
2012
Sep 30, 2022   |  By Bria Jones
G2 has released their Fall 2022 reports, and we are thrilled to share that InfluxDB – the purpose- built time series platform, has once again ranked #1 in the G2 Grid for Time Series Databases. InfluxDB has also held its leading position in the Momentum Grid for Time Series Databases. The Momentum Grid® identifies products that are on a high growth trajectory based on user satisfaction scores, employee growth, and digital presence.
Sep 29, 2022   |  By Aykut Bulgu
The number of applications and services increases every day as more application architectures move towards microservices or serverless structures. You can process this increasing amount of time series data with real-time aggregation or with a calculation whose output is a measurement or a metric. These metrics need to be monitored so that you can solve issues and make relevant changes in your system quickly. A change in a system can be captured and observed in many ways.
Sep 28, 2022   |  By Susannah Brodnitz
Flux is InfluxDB’s functional data scripting language. It’s made to query, process, analyze, and act on data. It’s very powerful and is built and optimized for time series. There are so many things you can do with Flux it can be hard to know where to start. This August, InfluxDB University launched a free Intermediate Flux course taught by experts that can take your Flux skills up a notch.
Sep 23, 2022   |  By Bharat Bhat
We love to write and ship code to help developers bring their ideas and projects to life. That’s why we’re constantly working on improving our product to meet developers where they are, to ensure their happiness, and accelerate Time to Awesome. This week, we are covering a product release that helps all InfluxDB Cloud UI users get more from their graphs.
Sep 22, 2022   |  By Anais Dotis-Georgiou
If you’re an InfluxDB user you’ve almost certainly used the join() function. The join() function performs an inner join of two table streams. It’s most commonly used to perform math across measurements. However, now it is deprecated in favor of the join.inner() function which is part of the new join package. With the addition of the join package, Flux now has the ability to perform the following types of joins: A visualization of different types of joins from this article.
Sep 21, 2022   |  By Charles Mahler
MQTT is becoming the standard protocol for applications that operate in environments where network connectivity is intermittent or unreliable, reducing bandwidth usage is a priority, or where hardware resources are limited. In this post you will learn about some specific use cases where businesses are seeing value from making MQTT part of their tech stack.
Sep 20, 2022   |  By Charles Mahler
Databases are often the biggest bottleneck when it comes to application performance. Over the years a number of new database designs have emerged to help with not only basic scalability and performance but also to help improve developer productivity and make building certain types of applications easier. That isn’t to say these new databases are magical — there are always trade-offs being made and certain things are sacrificed for gains in other areas.
Sep 16, 2022   |  By Charles Mahler
In an ideal world, developers would be able to release new products and features from development environments into production extremely fast while also not having to stress about breaking prod. Achieving this combination of development speed while also maintaining software reliability requires having the right toolchain and automation in place.
Sep 14, 2022   |  By Jason Myers
When it comes to IoT data, MQTT is a superstar. With so many IoT devices generating data out in the world, developers need ways to access it. After all, data lies at the heart of every application. But data doesn’t just magically manifest itself into your datastore, and building the right data pipeline can make or break an application. Data collection is not a one-size-fits-all problem to solve.
Sep 11, 2022   |  By Susannah Brodnitz
MQTT is a machine-to-machine communication protocol. Devices publish messages to a broker under specific topics, and other devices subscribe to those topics to receive information. It’s popular because it doesn’t take up a lot of bandwidth, so IoT devices with limited network connectivity can use it. MQTT works because of brokers. Each device sending and receiving data can communicate with potentially millions of other devices while only connecting to one broker.
Sep 7, 2022   |  By InfluxData
InfluxDB Native Collector allows users to set up direct, cloud-to-cloud connections between web services and InfluxDB to accelerate data collection. Here, Gary Fowler discusses the basics of the Native Collector feature.
Jul 6, 2022   |  By InfluxData
The team at InfluxData has been hard at work building a brand new query experience into the GUI, and recently gave us a look at what's coming.
Jun 14, 2022   |  By InfluxData
The 'edge' is the place where the physical world meets the digital world. More and more businesses rely on workloads at the edge, especially in the IoT and IIoT spaces. Define the edge to fit your needs. InfluxDB has the tools and resources to use data at the edge and in the cloud, and to create reliable, durable data pipelines between them.
Jun 13, 2022   |  By InfluxData
Flux Engineer Sean Brickley shows some major improvements coming to the Flux language to support more ways to join together multiple tables of data.
May 19, 2022   |  By InfluxData
Telegraf has over 300 plugins available in four different categories. Here, developer Mya Longmire talks about two of those categories, aggregators and processors, covering what they do and how to use them.
May 19, 2022   |  By InfluxData
MQTT is one of the most common protocols used in IoT and IIoT. Here, Brian Gilmore and Mya Longmire talk discuss some MQTT basics, how to use MQTT with InfluxDB, and some of the advantages that combining MQTT and InfluxDB bring to IoT and IIoT tech stacks.
May 18, 2022   |  By InfluxData
Flux language developer Jonathan Sternberg demonstrates some query performance optimizations being made under the hood that make Flux faster for some of the most common use cases
May 18, 2022   |  By InfluxData
Flux language developer Jonathan Sternberg demonstrates more performance improvements being made to common Flux query functions to make working with large datasets much faster
Apr 21, 2022   |  By InfluxData
Flux is the native data language for the InfluxDB platform. Here, Scott Anderson discusses the 'stream of tables' concept, how that relates to Flux's data structure.
Apr 21, 2022   |  By InfluxData
InfluxDB has a feature that lets users invoke scripts using its API. Here, Jay Clifford explains how to use this feature with custom endpoints to improve the functionality, efficiency, and security of your applications.
Sep 18, 2018   |  By InfluxData
Everything related to how IT services are delivered and consumed is undergoing tremendous change. Monolithic architectures are being replaced by microservices-driven apps and the cloud- based infrastructure is being tied together and instrumented by DevOps processes.
Sep 1, 2018   |  By InfluxData
Companies are committed to delivering on higher levels of customer satisfaction for their online services. Unfortunately, many organizations trying to support these initiatives take an interrupt-driven approach where they scramble to fix things when they break. However, to manage to these high levels of SLAs, you should take a structured approach in order to reduce the amount of unscheduled downtime by proactively monitoring and managing your systems.
Aug 1, 2018   |  By InfluxData
This paper reviews how an IoT Data platform fits in with any IoT Architecture to manage the data requirements of every IoT implementation. It is based on the learnings from existing IoT practitioners that have adopted an IoT Data platform using InfluxData.
Jul 1, 2018   |  By InfluxData
In this technical paper, we'll compare the performance and features of InfluxDB 1.4.2 vs. Elasticsearch 5.6.3 for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Jun 1, 2018   |  By InfluxData
In this technical paper, we'll explore the aspects of scaling clusters of the InfluxEnterprise product, primarily through the lens of write performance of InfluxDB Clusters. This data should prove valuable to developers and architects evaluating the suitability of InfluxEnterprise for their use case, in addition to helping establish some rough guidelines for what those users should expect in terms of write performance in a real-world environment.
May 1, 2018   |  By InfluxData
In this technical paper, InfluxData CTO - Paul Dix will walk you through what time series is (and isn't), what makes it different than stream processing, full-text search and other solutions. He'll also work through why time series database engines are the superior choice for the monitoring, metrics, real-time analytics and Internet of Things/sensor data use cases.
Apr 1, 2018   |  By InfluxData
As the number of metrics collected and acted on increases, developers need a solution that is fast and efficient to keep up with the demands of their solutions. We'll compare the performance and features of InfluxDB and OpenTSDB for common time series db workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Mar 1, 2018   |  By InfluxData
In this this technical paper, we'll compare the performance and features of InfluxDB vs MongoDB for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Feb 1, 2018   |  By InfluxData
In this technical paper, we'll compare the performance and features of InfluxDB and Cassandra for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Jan 1, 2018   |  By InfluxData
To help provide a better understanding of how to get the best performance out of InfluxDB, this technical paper we will delve into the top five performance tuning tips for improving both write and query performance with InfluxDB. Topics covered include cardinality, batching, down-sampling, schema design and time-stamp precision.

InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly.

InfluxData provides the leading time series platform to instrument, observe, learn and automate any system, application and business process across a variety of use cases:

  • DevOps Observability Observing and automating key customer-facing systems, infrastructure, applications and business processes.
  • IoT Analytics Analyzing and automating sensors and devices in real-time delivering insight and value while it still matters.
  • Real-Time Analytics Leveraging the investment in instrumentation and observability—detecting patterns and creating new business opportunities.

Customers turn to InfluxData to build DevOps Monitoring (Infrastructure Monitoring, Application Monitoring, Cloud Monitoring), IoT Monitoring, and Real-Time Analytics applications faster, easier, and to scale.