Case Study: Skydrop achieves real-time water conservation and high performance with Redis Enterprise (Redis)

A Redis Case Study

Preview of the Skydrop Case Study

Skydrop Updates Information in Real-Time for its IoT Water Conservation Solution

Skydrop, maker of a smart sprinkler controller that automatically adjusts watering schedules using hyperlocal, real-time weather data, needed a backend that could support fast, reliable IoT updates. The company struggled with high latency, slow response times, and operational/scaling difficulties using other databases, which threatened the accuracy and timeliness of its water‑conservation service.

Skydrop adopted Redis Enterprise to power its IoT cloud (a 1–10 GB dataset) for high‑speed transactions, session storage, messaging, job/queue management, and caching. The switch delivered stable, high performance along with significant cost savings, faster time to market, reduced downtime, and the ability to operate with fewer specialized personnel — and Skydrop plans to migrate more data (e.g., from MongoDB) into Redis Enterprise.


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Skydrop

Dan Wilson

Engineering Director


Redis

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