IoT Monitoring Data Platform for Digital Transformation
The enterprise IoT solution using InfluxDB provides real-time insights and analytics into devices and processes—collecting, storing, and visualizing sensor data.
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Why a purpose-built time series database?
Sensor data is time-stamped to help you understand how your processes and equipment are performing over time, facilitating further innovation and improvement.
Why InfluxDB for Enterprise IoT?
Nearly 60 billion connected IoT devices are predicted to be in use by 2025. This data is streaming in real time, motivating companies to identify an IoT data platform architecture that is resilient, scalable, and extensible enough to handle these new workloads.
Built for developers, InfluxDB is central to many IoT solutions, providing high throughput data ingestion, compression, and real-time querying. Efficiency and effectiveness must start in the data structure, ensuring that time-stamped values are collected with the necessary precision and metadata to provide flexibility and speed in graphing, querying, and alerting.
Using historical data from sensors to gain actionable insights creates a major competitive advantage. Predictive maintenance, optimized traffic routing, reduced churn management, and enhanced water conservation are all possible with IoT analytics.
With the speed and velocity of events generated by sensors, businesses want to act on data in real time without human interaction. For example, automatically shutting down a pump if a leak is detected or changing turbine direction based on forecasted wind speed creates an immediate business advantage.
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“InfluxDB is helping Bboxx become a data-driven business. Instead of just selling boxes, we’ll soon be selling customers a pay-by-the-month plan. It’s the speed, reliability, and scalability of InfluxDB that enables us to move ahead with this more flexible and responsive plan.”
David McLean
Senior Developer, Bboxx
Performance and innovation with open standards
We built InfluxDB 3.0 in Rust using the FDAP stack
Parquet
Open column-oriented file format designed for efficient data storage and retrieval
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