Industry:
Asset Management & Tracking
Use case
LakeTech consolidates water quality data from sensors and provides real-time monitoring and analytics for municipalities and lake managers, ensuring optimal surface water management.
Impact
- Improved real-time data retrieval
- Scalable water quality monitoring
- Enhanced data visualization with time-bucketing
- Simplified operations for lake management
We needed to time bucket properly depending on the range that our customers are looking at… Tiger Data did that for us extremely easily.
Greg Smith
Company and Use Case
LakeTech is a surface water management platform offering real-time monitoring solutions for municipalities, lake managers, and homeowners associations. Using over 60 water quality sensors deployed across the U.S. and Canada, LakeTech centralizes surface water data, integrating diverse hardware systems to provide clients with comprehensive insights. This enables proactive management of lakes and other water bodies to ensure proper water quality.
Performance Problems to Solve
LakeTech faced the challenge of managing vast amounts of water quality data from IoT sensors, requiring real-time access and efficient data visualization. The company needed a solution to handle time-series data at various granularities, from hourly to monthly, with minimal latency and high reliability.
Performance Gains Unlocked
By leveraging TimescaleDB, LakeTech improved data retrieval speed and scalability for its water quality monitoring platform. The ability to time-bucket data based on client needs significantly enhanced their data visualization capabilities, allowing customers to analyze and act on water quality trends in real-time. The system’s flexibility and seamless integration streamlined operations and enabled LakeTech to scale as it expanded sensor deployment.
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