Question 1 of 5
2024-11-21
Discuss the trade-offs between using a relational database and a NoSQL database for storing time-series data. Consider factors such as data modeling, query performance, scalability, data consistency, and schema evolution. Relational databases are always preferred for time-series data due to their strong consistency guarantees. NoSQL databases are always better suited for time-series data because of their inherent scalability and flexible schema. Relational databases offer strong consistency and mature tooling, but can struggle with the volume and velocity of time-series data. NoSQL databases provide better scalability and schema flexibility but might compromise consistency and offer limited querying capabilities. Time-series databases are a specialized type of NoSQL database specifically designed for storing and querying time-stamped data and offer functionalities tailored for handling such data.