background imageConserv

All customers

Industry

Energy & Environment

Use Case

Monitoring, real time

Impact

Worry-free database maintenance, Improved developer productivity, Ease of scaling

Website

https://conserv.io/

The combination of a performant, scalable repository for our time-series data, the core SQL features we know and trust, and the built-in time-series functionality. This is where we’ve gotten the most value out of Tiger Data.

Nathan McMinn, CTO and Co-founder

Company and use case

Conserv provides environmental monitoring solutions to museums, libraries, and archives, helping them preserve cultural heritage. Their IoT platform continuously tracks factors like temperature, humidity, and light to ensure optimal conditions for artifacts. By leveraging real-time data and advanced analytics, Conserv aids institutions in maintaining the integrity of their collections and preventing damage.

Performance problems to solve

Conserv faced challenges in managing the influx of data from numerous sensors deployed across various sites. Their legacy system struggled with data ingestion and query performance, leading to delays in generating insights and alerts. This inefficiency posed a risk to the timely maintenance of optimal environmental conditions necessary for artifact preservation.

Performance gains unlocked

Adopting TimescaleDB revolutionized Conserv's data management, drastically improving ingestion rates and query speeds. TimescaleDB's capabilities allowed Conserv to handle large volumes of time-series data efficiently, ensuring real-time monitoring and rapid response to environmental changes. This upgrade enhanced the reliability of their system and streamlined operations with features like continuous aggregates and automated data retention policies.

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