Historian Server stores data in which type of database?

The Historian Server utilizes a relational database for data storage. This is primarily because relational databases are designed to handle large volumes of time-series data, which is essential for capturing historical process data accurately.

In a relational database, data is stored in tables that can be easily queried and manipulated using Structured Query Language (SQL). This structure provides efficient data retrieval and supports complex queries that can analyze trends over time, making it highly suitable for applications like process industries where data integrity and accessibility are critical.

Furthermore, the relational database model ensures that the relationships between different data points are maintained, allowing for more sophisticated analyses and reporting capabilities. The ability to use indexing and other optimization techniques in a relational database enhances performance when handling time-series data, which is typically large and requires efficient storage and retrieval methods.

Other types of databases, such as NoSQL databases or flat file databases, may not support the same level of data integrity, relationship handling, or query complexity required for effective historization of data. In-memory databases, while fast for specific applications, may not provide the persistent storage needed for long-term historical data records that the Historian Server demands.