InfluxData, an open source platform built for metrics, events and other time series data that empowers developers to build next-generation IoT monitoring and analytics applications, recently announced that it is helping global organizations maximize the ROI of their IoT applications by capturing, understanding and acting on data collected from IoT devices and sensors in real time.
For organizations to fully leverage IoT solutions and gain efficiencies promised by IoT data they need to understand the behavior of their devices and sensors in real time, have the ability to iterate solutions to address any behavior issues of the IoT connected devices, and continue to innovate solutions at lightning speed.
Having IoT sensors and getting more data is irrelevant to the business if this data cannot be used to gain real-time insights, accelerate decision-making, perform automated tasks, and create value by enabling organizations to become data-driven.
InfluxData delivers a modern IoT Data Platform built from the ground up to support organizations looking to best leverage the wealth of IoT data delivered from their devices and sensors to provide an advantage for their customers. IoT data is unique in that sensors deliver time stamped or time series data to measure change over time, the data is streamed relentlessly from sensors, and sensors capture and emit data in real time. With InfluxData, companies always have a direct view into the state of each of their devices and sensors so changes can be made to keep services running efficiently.
Understanding and managing streams of data coming from IoT devices and sensors in real time is critical for business today. Organizations provide value by monitoring and tracking sensor data, using historical data from sensors to gain insights that can be applied to current situations (predictive maintenance, optimized traffic routing), and delivering automated action and control (such as shutting down a leaking water pump) with no human interaction.
InfluxData’s modern IoT Data Platform utilizes the open source project Kapacitor as a native data processing engine. It processes streaming data and allows organizations to plug in custom logic, User-Defined Functions (UDFs), or machine learning libraries to process the data and create alerts with dynamic thresholds, perform pattern matching, and compute statistical anomalies, etc., that can trigger UDFs to form the basis of the IoT control plane. This is critical in IoT use cases where it is important to determine what data is worth keeping, what data needs to be acted upon, and what data should be preserved for historical analysis.
InfluxData is powered by InfluxDB, an open source Time Series Database that supports high write loads, large data set storage, and conserves space through downsampling to automatically expire and delete unwanted data as well as backup and restore. This high performance, purpose built time series database is highly optimized for IoT data, time series data, and high cardinality data prevalent in IoT use cases.
InfluxData provides a comprehensive set of tools and services built from the open source Telegraf project to collect metrics and events data from sensors, devices, systems, and machines. InfluxData allows for the graphical real-time visualization of data with the open source project Chronograf, and performs ad hoc exploration of the data. Chronograf includes support for templates and a library of intelligent, pre-configured dashboards for common data sets.
“With nearly every available surface in the material world a candidate for instrumentation – metrics, events, and other time-based data are being generated at an exponential rate, establishing a growing requirement for analyzing today’s complex environments to leverage this data for improved systems and customer service,” said Tim Hall, VP of Products at InfluxData. “The InfluxData Platform provides the industry’s only comprehensive set of tools and services to uniquely accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications to best serve customers’ diverse IoT data needs.”
InfluxData customer BBOXX is a venture backed company developing solutions to provide affordable, clean energy to off-grid communities in the developing world. BBOXX designs, manufactures, distributes and finances innovative plug-and-play solar systems to improve access to energy across Africa and the developing world. More than 100,000 BBOXX products have been sold in more than 35 countries, improving the lives of more than 500,000 people. By 2020 BBOXX will provide 20 million people with electricity.
“BBOXX collects performance data from its portfolio of 50,000+ IoT solar-home-systems currently deployed across East Africa,” said David McLean, Lead Developer at BBOXX. “Performing real-time analytics on each incoming data stream, BBOXX can monitor system performance, analyze customer usage patterns, and alert on unit failures or customer tampering events. Generating half a billion data points a week, BBOXX requires a fast, responsive, scalable and reliable time-series database. InfluxData provides the data platform which allows BBOXX to execute this data-driven business model.”
Spiio, another InfluxData customer, provides a sensor and software solution for remote monitoring of vertical living green walls and high-value green plant installations. The service enables horticulture professionals to cut maintenance costs drastically by making better irrigation decisions and ensuring full digital control of millions of plants. Spiio uses sensors to understand plant performance from data.
“InfluxDB was a tech enabler for our vision bridging the gap between things and people,” said Jens-Ole Graulund, CTO at Spiio. “Having permanent access to time series data and plant analytics was like the blinds fell off to eliminate guesswork. InfluxData reveals trends and enables data-driven decisions not only for green wall maintenance but also for its design – for green walls built to perform.”
Since 2012, tado° has been connecting heating systems with the internet and making their control even smarter. tado° augmented its service with a Smart AC Control that enables consumers to intelligently control air conditioners. Their app adjusts to residents’ behavior in real time and also takes current weather forecasts and building characteristics into account.
“For our IoT monitoring activities, InfluxCloud has significantly helped our team gather analytics data collected from hundreds of thousands of units across the globe,” said Michal Knizek, Head of Server Dev., IoT Cloud, tado°. “We use this data to power smartphone apps for customers to better understand energy usage and configure their ideal setting. Our customers use the app more because the new user report generated with InfluxDB is very fast and appealing. We have experienced higher data loads with the increase in use, which InfluxDB handles beautifully.”