In the field of catalysis, vast amounts of data are generated from experiments, simulations, and analytical techniques. A data lake provides a scalable and efficient way to store and manage this data. This flexibility is crucial for researchers who need to integrate diverse data types, such as chemical properties, reaction conditions, and performance metrics.