The field of catalysis often involves a wide variety of data types, including experimental results, computational models, and literature reviews. Document databases can efficiently manage this diversity. Here are some key reasons to use them:
Flexibility: Document databases can store complex data structures, such as nested documents, arrays, and various data types, which are common in catalysis research. Scalability: These databases are designed to scale out horizontally, making them suitable for handling large volumes of data generated in high-throughput experiments. Performance: Document databases can perform faster queries for specific types of data retrieval, especially when dealing with large datasets.
