Data Integration: They enable the integration of data from different sources, such as lab experiments, industrial processes, and theoretical models. Scalability: They can handle large datasets and can grow as more data is generated, which is common in catalysis research. High Availability: Distributed databases ensure that data is available even if some nodes fail, which is critical for continuous research operations. Performance: By distributing the load across multiple nodes, these databases can offer faster data access and processing speeds.
