# Design an indexing strategy that keeps queries fast

Canonical: https://brew.new/templates/mongodb/design-an-indexing-strategy-that-keeps-queries-fast

Brand: mongodb.com
Category: general

![Preview of Design an indexing strategy that keeps queries fast](https://cdn.brew.new/email-preview-ea06dbdc21ca30b1-tracking_r57gj69v6xa3ymvyfcf06bqpxn8gc30q-1792160525863.png)

## Email content

Create an effective indexing strategy for your app

You can improve the speed of read operations by creating an index — and MongoDB Atlas makes this easy. Whether you’re using the Atlas UI or Atlas CLI, you can quickly create, view, hide, or drop indexes depending on your application requirements.

Create your first index

Which index strategy should you use?

A good indexing strategy ensures that your database returns results as efficiently as possible. Consider factors like database schema, usage patterns, and database server configuration.

Need help optimizing? The Explain button in Atlas lets you evaluate query performance to optimize index usage with just one click. You can:

Get query statistics

Diagnose slow queries

Identify where new indexes could make a difference

It’s a quick way to test, iterate, and improve your strategy as your data and usage evolve.

Array and nested field indexing in MongoDB

MongoDB’s multikey indexes are purpose-built for JSON-style documents, indexing arrays and nested fields without extra configuration. Unlike PostgreSQL, where GIN indexes only support equality lookups, MongoDB natively supports indexing on range, sort, and compound queries, giving you faster, more flexible access to your data. Learn more about index use cases.

Video: Using MongoDB indexes

Watch this quick 4-minute video to learn how to create multikey and compound indexes.

Need further support? Start an in-app chat with your free Basic plan or unlock faster, personalized guidance on MongoDB best practices and your specific use case with our free, 30-day trial of the Developer support plan.

For more targeted technical guidance, use Flex Consulting for on-demand access to MongoDB experts—without a long-term commitment.

Copyright © 2026 MongoDB, All rights reserved.

1633 Broadway Floor 38, New York, NY 10019

view in browser or unsubscribe

[Open and remix this design](https://brew.new/templates/mongodb/design-an-indexing-strategy-that-keeps-queries-fast)

[Browse email designs](https://brew.new/browse/templates)