Loading a JSON file vs Querying MongoDB

A Comparison

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Question

It is a performance question — I created a web app (in Node.js) that loads a JSON file that has around 10 000 records and then displays that data to the user. I’m wondering if it would be faster to use (for example) MongoDB(or any other noSQL database, CouchDB?) instead? And how much faster would it be?

Loading a JSON file directly into memory and querying it versus using a NoSQL database like MongoDB can have different performance characteristics. The choice between the two approaches depends on various factors, such as the frequency of updates to the data, the complexity of the queries, the scalability requirements, and the expected data growth.

When considering performance, here are some points to consider:

1. Data Loading Time: Loading a JSON file into memory is a relatively straightforward process and can be fast for a file with 10,000 records. However, loading the entire JSON file into memory may consume a significant amount of RAM, especially if the file is large or contains complex nested structures.
2. Query Performance: If you need to perform complex queries or filter the data based on specific criteria, using a database like MongoDB can be more efficient. NoSQL databases are designed to handle large volumes of data…