InfluxData

San Francisco, CA, USA
2012
Feb 2, 2023   |  By Anais Dotis-Georgiou
This tutorial covers how to perform downsampling with the new InfluxDB storage engine, InfluxDB IOx, in InfluxDB Cloud (available on AWS us-east-1 and AWS eu-central-1 starting January 31st) using AWS Lambda. This tutorial describes how to: InfluxDB IOx addresses key user needs including (but not limited to): We achieved these goals by building InfluxDB IOx on the Apache ecosystem (Apache Parquet, Apache DataFusion, Apache Arrow, and Apache Flight SQL).
Feb 1, 2023   |  By Jason Myers
Some things are inevitable, like Thanos, paying taxes, and change. While it would be nice to simply snap our fingers and deliver new products, things aren’t so simple in the real world. InfluxDB has been the leading time series database since January 2016. But we’re not content to rest on our laurels. The quest to improve InfluxDB is constant and ongoing. As of today, we’re beginning the rollout of an all-new and improved InfluxDB Cloud powered by IOx.
Feb 1, 2023   |  By Balaji Palani
Back in October 2022, our Founder and CTO Paul Dix announced the limited release of InfluxDB IOx, our new database engine. After several months of beta testing, we’re excited to announce the next phase of our database engine: general availability. As of today, InfluxDB IOx releases to the rest of the world as the new and improved InfluxDB Cloud.
Jan 25, 2023   |  By Jason Myers
Crosser is a Swedish company that builds a streaming analytics platform. The idea behind Crosser is to take the data from a connected, sensor-rich world and integrate it in real time to deliver faster insights and innovation. Primarily focused on the industrial IoT (IIoT) space, Crosser helps manufacturers gain insight into their machines and processes to drive improvements and to take advantage of newer trends and requirements that companies have for their data.
Jan 23, 2023   |  By Charles Mahler
Accurate data is one of the most important aspects of any organizational function. It helps in decision-making and planning, and for most businesses, it also helps in generating revenue. The data can be anything from a list of clients and products to an inventory list. Nothing comes close to SQL timestamps regarding data accuracy, timeliness, and management. SQL Server timestamp is a critical component of relational databases, but they aren’t used on a daily basis by most database professionals.
Jan 18, 2023   |  By Community
This article was originally published in The New Stack and is reposted here with permission. A consequence of living in a rapidly changing society is that the state of all systems changes just as rapidly, and with that comes inconsistencies in operations. But what if you could foresee these inconsistencies? What if you could take a peek into the future? This is where time-series data can help.
Jan 13, 2023   |  By Jay Clifford
So by now, you are probably aware that InfluxData has been busy building the next generation of the InfluxDB storage engine. If you dig a little deeper, you will start to uncover some concepts that might be foreign to you: These open-source projects are some of the core building blocks that make up the new storage engine. For the most part, you won’t need to worry about what’s under the hood.
Jan 11, 2023   |  By Community
This article was priginally published on the CNF blog and is written by Cameron Pavey. Scroll down for the author’s bio. Docker is an increasingly popular choice for businesses dealing with containerized applications. However, as with any new technology, Docker introduces complexities that need to be managed. Some of these complexities relate to infrastructure and application monitoring.
Jan 9, 2023   |  By Anais Dotis-Georgiou
A look at what Apache Arrow is, how it works, and some of the companies using it as a critical component in their architecture. Over the past few decades, leveraging big datasets required businesses to perform increasingly complex analysis. Advancements in query performance, analytics, and data storage are largely a result of greater access to memory. Demand, manufacturing process improvements, and technological advances all contributed to cheaper memory.
Jan 5, 2023   |  By Charles Mahler
This article was originally published in The New Stack and is reposted here with permission. Arrow makes analytics workloads more efficient for modern CPU and GPU hardware, which makes working with large data sets easier and less costly. One of the biggest challenges of working with big data is the performance overhead involved with moving data between different tools and systems as part of your data processing pipeline.
Jan 4, 2023   |  By InfluxData
Telegraf is a lightweight, open-source, data collection tool. It utilizes a plug-in based system (with 300+ plug-ins to choose from) to create custom data pipelines.
Jan 4, 2023   |  By InfluxData
InfluxData's newest data storage engine can handle unlimited cardinality.
Nov 9, 2022   |  By InfluxData
Join Evan Kaplan, CEO at InfluxData, and a long-time InfluxDB community member as they discuss how to create a stronger developer experience (DX). Hear from Evan and Colin Breck, Cloud Platforms Lead at Tesla Energy Products, to learn more about industry best practices and how organizations can improve the experience for developers.
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.
Sep 7, 2022   |  By InfluxData
InfluxDB provides many ways to collect data. The newest one is the Native Collector feature. But when should you use the native collector and when should you use a different option, like Telegraf? Gary Fowler uses MQTT to show the different options and why you might choose one over the other.
Sep 7, 2022   |  By InfluxData
Setting up the InfluxDB native collector for MQTT is a simple, three step process. Here, Gary Fowler walks through the configuration process and discusses the different parsing options available to you.
Sep 7, 2022   |  By InfluxData
InfluxDB is a schema-less database. But what if you *want* a schema for your time series data? Well, you can choose to enforce a schema at the bucket level. Here, Zoe Steinkamp covers the basics of schemas, and how to go about using explicit schemas in InfluxDB.
Sep 7, 2022   |  By InfluxData
If you use Node.js, then the Node.js client library allows you to interact with the InfluxDB platform quickly, using a familiar language. Here, Zoe Steinkamp discusses some of the features of the Node.js client library to help you get started building awesome applications with InfluxDB even faster.
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.
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.