Florian Herrengt, co-founder of Nocodelytics, shares how his company uses TimescaleDB to track millions of user interactions per day and build dazzling analytics dashboards for website building and hosting platform Webflow. By using a wide table layout, they have reduced their query cost by six times, making it possible to handle large amounts of data without sacrificing performance. Nocodelytics started with PostgreSQL but found that TimescaleDB provided faster performance and was easier to use, with features like compression and indexing that helped mitigate storage and schema flexibility trade-offs. With TimescaleDB, they can now scale their database to handle billions of rows, leveraging features like tablespaces and data tiering to optimize storage space. The company is excited to continue using TimescaleDB and exploring its features, such as time_bucket_gapfill() and histogram(), to further improve performance and reliability.