Nevados: Optimizing Solar Data Management with Time-Series Database

Before switching to TDengine, Nevados Engineering, a leader in making single-axis solar tracker for non-flat terrain, was using a key-value NoSQL database. While this solution was easy to get started with, its limitations became evident as Nevados completed more projects and collected more data. The NoSQL database failed to perform acceptably as the business scaled, and it was difficult to query, which meant engineers had trouble accessing the data they needed when they needed it.

In this webinar, Patrick Heneise of Nevados and Jim Fan of TDengine discuss the data challenges facing the renewables industry and how Nevados utilizes a high-performance time-series database to optimize their solar tracker data management and easily scale their data pipeline.

Learn more about Nevados at https://nevados.solar
Learn more about TDengine at https://tdengine.com