InfluxData is trusted by thousands of customers worldwide
With over 162,000 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 or browse all our customer testimonials.
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.
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DevOps Observability
Emerging trends like microservices, containerization, elastic storage, software defined networking, hybrid clouds, etc., keep pushing the boundaries of what constitutes DevOps Monitoring. We have customers using InfluxData that are monitoring and controlling their cloud infrastructure (PaaS, SaaS, IaaS), applications and database instances, and containers—providing a consolidated view or single pane of glass solution to their SLA commitments.
Featured DevOps Use Cases are listed here, 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.
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IoT Analytics
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 here, or browse all our customer testimonials.
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 time series data in real time is the problem to solve.
Featured Real-Time Analytics Use Cases are listed here, or browse all our customer testimonials.
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 their costs.
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Houghton Mifflin Harcourt
Houghton Mifflin Harcourt (HMH) gained real-time visibility into its AWS spend, optimized its DevOps monitoring, and tracked KPIs to measure the company’s online educational business.
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