The common data storage solutions in catalysis research include:
Local Servers: On-premises servers provide direct control over data but require significant maintenance and infrastructure costs. Cloud Storage: Offers scalable and flexible storage options with ease of access from anywhere. Popular providers include AWS, Google Cloud, and Azure. Distributed Databases: These databases, such as Cassandra and HBase, allow for the storage of large datasets across multiple locations, providing high availability and fault tolerance. Data Lakes: A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It can hold data in its raw form until needed for analysis.
