Is it permissible to store large volumes of information in relational databases?

Storing large volumes of information in relational databases is permissible but not always optimal. Relational DBMSs are well-suited for structured data with clear relationships and support complex queries.

However, with very large data volumes (e.g., terabytes and above), performance and scalability issues may arise. In such cases, the following are often used:

• Specialized solutions for big data, such as Hadoop, Spark.
• NoSQL databases (e.g., MongoDB, Cassandra), which scale better horizontally.
• Data partitioning (sharding) and archiving old data.

If the data is well-structured and integrity is important, relational databases remain a good choice, but architecture and query optimization need to be carefully considered.