Firebase vs MongoDB: Which is better for performance?

What are the performance differences between Firebase and MongoDB?

Firebase is optimized for real-time data synchronization, making it faster for applications that require instant updates. MongoDB, on the other hand, is designed for handling large volumes of data and complex queries, which can lead to better performance in data-heavy applications.

Which one scales better for large applications?

MongoDB generally scales better for large applications due to its ability to handle sharding and horizontal scaling. Firebase can also scale, but it may face limitations with very large datasets or complex queries.

How do they compare in terms of cost?

Firebase has a pay-as-you-go model that can become expensive with high usage, while MongoDB offers more predictable pricing based on the infrastructure you choose, which can be more cost-effective for large-scale applications.

Can you give examples of use cases for each?

Sure! Firebase is great for real-time applications like chat apps or collaborative tools, while MongoDB is ideal for applications that require complex data relationships, like e-commerce platforms or analytics dashboards.