Skydrop Updates Information in Real-Time for its IoT Water Conservation Solution
Customer Company Size
SME
Region
- America
Country
- United States
Product
- Skydrop Smart Sprinkler Controller
- Redis Enterprise
Tech Stack
- Redis Enterprise
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Consumer Goods
Applicable Functions
- Facility Management
Use Cases
- Smart Irrigation
- Predictive Maintenance
- Remote Control
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
Skydrop is a company that specializes in creating smart sprinkler controllers designed to save water by automatically adjusting watering schedules based on various indicators. Their flagship product, the Skydrop Smart Sprinkler Controller, leverages hyperlocal, real-time weather data to intelligently water landscapes, thereby optimizing water usage and reducing costs. The company operates in the consumer products industry and is classified as a small business. Skydrop's innovative approach to water conservation has made it a notable player in the IoT space, particularly in the realm of smart home and garden solutions. By integrating advanced technology with practical applications, Skydrop aims to provide users with efficient and sustainable water management solutions.
The Challenge
The business challenges that led the profiled company to evaluate and ultimately select Redis Enterprise included high latency and slow response times from other databases, as well as difficulty operating, scaling, and administering other databases. These issues were critical as Skydrop needed a reliable and efficient database solution to handle real-time weather data for their smart sprinkler controller. The company faced significant operational hurdles with their previous database systems, which could not meet the demands of their growing application usage and user count. The need for a high-performance, scalable, and easy-to-administer database solution was paramount to ensure the efficient functioning of their IoT water conservation solution.
The Solution
To address the challenges of high latency, slow response times, and difficulties in scaling and administering their previous databases, Skydrop chose Redis Enterprise as their database solution. Redis Enterprise was selected for its high-speed transactions, user session store capabilities, messaging, job and queue management, and scalability tier/content caching. The company uses a 1-10 GB dataset in Redis Enterprise, which powers their IoT cloud service. This service interprets hyperlocal, real-time weather data to intelligently water landscapes, ensuring optimal water usage. Redis Enterprise's stability and high performance were key factors in its selection, providing Skydrop with the reliability needed for their application. The company also increased their usage of Redis Enterprise due to the growing application usage and user count, aiming to serve more pieces of their application faster. Additionally, Skydrop plans to move more data from other databases, such as MongoDB, into Redis Enterprise to further streamline their operations.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
Case Study
Series Production with Lot-size-1 Flexibility
Nobilia manufactures customized fitted kitchens with a lot size of 1. They require maximum transparency of tracking design data and individual processing steps so that they can locate a particular piece of kitchen furniture in the sequence of processes.
Case Study
American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.
Case Study
Revolutionizing Rodent Control
From pet- and child-safe traps, to touch-free and live-catch rodent control solutions, Victor continues to stay committed to producing superior products that meet the varying needs of today’s pest control professionals. And, with a long standing history supporting customers in the food processing, service, and retail settings, Victor knew that strict regulations were costing organizations thousands of dollars in excess overhead trying to manage their rodent-control solutions. Trap inspections in these environments are often difficult and time consuming, requiring personnel to manually check a trap’s status multiple times per day, amounting to over six hours of manual labor. Victor is looking for an innovative way to increase operational efficiencies with the use of technology.
