When it comes to data storage, there are two main options: SQL and Snowflake. Both have their own advantages and disadvantages, so it's important to understand the differences between them before making a decision. SQL is a traditional database system that runs on a server, while Snowflake is a cloud-based data warehouse. SQL is a powerful database system that can handle large datasets and complex queries.
It is well-suited for OLTP (Online Transaction Processing) databases, which are used for storing and managing data from multiple sources. However, it can be expensive to maintain due to the need for powerful hardware and a skilled database development team. Snowflake, on the other hand, is a cloud-based data warehouse that is designed for business analysis purposes. It offers excellent performance out of the box and can easily handle large datasets and complex queries.
It also allows you to segregate use cases into your own processing cubes, improving performance and managing costs. The main difference between SQL and Snowflake is that SQL runs on a server while Snowflake is cloud-based. This means that with SQL, you need to manage the operating system and the SQL Server engine itself, while with Snowflake you don't need to worry about this. Additionally, Snowflake can easily integrate streaming data, work with unstructured data, and turn it into a comprehensive data lake.
When it comes to cost, it's impossible to predict which option will be more profitable in the long run. However, if your use case is not creating a data warehouse but rather an OLTP database (or some NoSQL database use cases such as a document database), then Snowflake is definitely the right choice for you. In conclusion, when choosing between SQL and Snowflake, it's important to consider your use case and budget. If you need a powerful database system for OLTP databases or some NoSQL database use cases, then SQL may be the right choice for you.
However, if you're looking for a cloud-based data warehouse that offers excellent performance out of the box and can easily handle large datasets and complex queries, then Snowflake is definitely the way to go.