Ndustrial is a company that helps large industrial energy users save energy, money, and improve sustainability by collecting data from various sources and using it to create production-normalized KPIs. They use TimescaleDB, an open-source relational database for time-series and analytics, to store and query this data efficiently. With TimescaleDB's compression capabilities, they can reduce storage size by up to 97% and improve query performance. The company uses Kotlin as a foundation for building stream-processing pipelines and Pulsar as a messaging layer to ingest data into TimescaleDB. They also use GraphQL to expose a platform that allows customers to generate dynamic metrics and queries. Ndustrial's goal is to make this data visible and accessible to their customers, enabling them to become more efficient and save energy. The company advises others to start with the type of data they're storing and select the right technologies for that data, and recommends using TimescaleDB's documentation and community resources for support.