InfluxData is trusted by thousands of customers worldwide
With over 70,000 active installs, it’s no wonder that InfluxData has become the fastest growing Time Series Database. 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.
Check out our featured testimonials below, or browse all our customer testimonials
Coupa
Coupa is making DevOps Monitoring a competitive weapon by moving from pure data collection to predictive analytics to drive their business forward. Metrics are collected via Kafka, stored in InfluxDB and visualized in Grafana.
flood.IO
flood.io is a distributed load testing platform that supports testing with open source tools like JMeter, Gatling, and Selenium. Their platform collects and aggregates real-time data from the tests by their customers in InfluxCloud.
PipelineFX
PipelineFX uses this data stored in InfluxCloud to generate customer dashboards, provide reporting of real-time usage, and drives the pricing of their SaaS offerings. They are now better equipped to make business decisions to optimize costs.
DevOps Monitoring
Emerging trends like microservices, containerization, elastic storage, software defined networking, hybrid clouds, etc., all keep pushing the boundaries of what constitutes DevOps Monitoring. We have customers using InfluxData that are monitoring and controlling their cloud infrastructure (PaaS, SaaS, Website), application and database instances, and containers—providing a consolidated view or single pane of glass solution to their DevOps monitoring needs.
Featured DevOps Use Cases are listed below, or browse all our customer testimonials.
NewVoiceMedia
NewVoiceMedia chose InfluxData to provide 99.999% uptime monitoring of their global SaaS over Graphite, DataDog, NewRelic and ElasticSearch because it could meet and exceed their business and technical requirements.
Coupa
Coupa is making DevOps Monitoring a competitive weapon by moving from pure data collection to predictive analytics to drive their business forward. Metrics are collected via Kafka, stored in InfluxDB and visualized in Grafana.
IBM
IBM uses InfluxData to provide monitoring, visibility, and control of its Trusteer product line. This is a SaaS solution that provides full protection against online fraud. The solution has to handle hundreds of virtual servers.
IoT Monitoring & IoT Data Platform
Instrumentation of every available surface in the material world, from machines to humans is a reality. Everything inside and outside the company is emitting a relentless stream of metrics and events. The sheer volume of data is astronomical, and growing exponentially, creating unique opportunities for businesses that can monitor and react to this data in real time. Traditional solutions just don’t have the speed, footprint, and uptime needed for this market. We have many customers using InfluxData as their IoT Data Platform for their IoT applications.
Featured IoT Use Cases are listed below, or browse all our customer testimonials.
tado
tado uses InfluxCloud to provide analytics from its hundreds of thousands of sensors units across the globe. They use this data to power their smartphone apps helping customers understand energy usage and generate energy savings.
Spiio
Spiio chose InfluxData to be its IoT Data Platform. Spiio uses sensors to understand plant performance for optimal green wall growth and maintenance from data. InfluxData provided the scalability and ease of use needed for fast deployment.
BBOXX
BBOXX uses InfluxData as its IoT Data Platform, to continuously monitor their geographically dispersed 85,000 solar units. They use this data to provide predictive maintenance and are becoming a data-driven organization.
Real-Time Analytics
The volume of metrics and events is beyond what any human is able to realistically interpret and take action on. Machine learning with real-time analytics is crucial in finding the “signal from the noise”. Whether the organization needs real-time analytics to buy and sell equities, perform predictive maintenance on a machine before it fails, adjust prices based on customer behavior—processing, analyzing and acting on the time series data in real time is the problem to solve.
Featured Real-Time Analytics Use Cases are listed below, or browse all our customer testimonials.
ProcessOut
PipelineFX uses this data stored in InfluxCloud to generate customer dashboards, provide reporting of real-time usage, and drives the pricing of their SaaS offerings. They are now better equipped to make business decisions to optimize their costs.
BotMetric
Powered by InfluxData, Botmetric provides an intelligent automation engine, providing smart diagnostics, cost management analytics and complete infrastructure audits, optimizing AWS infrastructure costs.
DNSFilter
DNSFilter has global anycast network that supports the collection of billions of queries per day. InfluxData provides the scalability and reliability that provides dashboard analytics and metered-based billing.
