A detailed technical guide on optimizing database queries for MongoDB and PostgreSQL in Node.js applications, covering indexing strategies, query optimization techniques, and performance best practice
s. The article provides practical examples using Mongoose and Sequelize ORMs, along with implementation guidance for caching, connection pooling, and monitoring solutions.
Reasons to Read -- Learn:
comprehensive indexing strategies for both MongoDB and PostgreSQL, including practical implementations of single-field, compound, text, and specialized indexes with real-world examples and use cases
how to identify and fix N+1 query problems, implement efficient pagination techniques, and optimize complex queries using aggregation pipelines in MongoDB and CTEs in PostgreSQL
practical implementation techniques for database optimization using popular ORMs like Mongoose and Sequelize, including connection pooling, caching with Redis, and performance monitoring tools
publisher: @hemangibavasiya08
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