Which storage option follows best practices for session and cart data on an ecommerce platform?

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Using a combination of Redis and Firestore for handling session and cart data on an ecommerce platform aligns well with best practices due to their respective strengths in performance, scalability, and data persistence.

Redis is an in-memory key-value store known for its ultra-fast read and write operations, making it ideal for managing session data. In an ecommerce environment, where user sessions may require frequent updates and quick access, Redis ensures that users experience minimal latency when interacting with the site. Its caching capabilities prevent unnecessary database calls, enhancing the overall responsiveness of the application.

On the other hand, Firestore is a NoSQL document database that is designed for scalable applications. It supports hierarchical data structures and real-time synchronization, which makes it suitable for storing cart data. As users add or remove items from their carts, Firestore can handle these transactions efficiently while maintaining data integrity and enabling updates to be reflected across multiple connected clients in real-time.

Combining these two storage options takes advantage of the speed of Redis for transient data (like sessions, which do not need to be stored permanently) alongside the structured and scalable nature of Firestore for persistent data (like shopping cart contents). This arrangement allows the ecommerce platform to provide a responsive user experience while ensuring that cart data is reliably stored

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