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The Official MongoDB Guide

You're reading from The Official MongoDB Guide Resilience, scalability, security and performance

Product type Paperback

Published in Sep 2025

Publisher Packt

ISBN-13 9781837021970

Length 368 pages

Edition 1st Edition

Languages

JavaScript

Tools

MongoDB

Concepts

Data Engineering

Authors (7):

Rachelle Palmer

Jeffrey Allen

Parker Faucher

Alison Huh

Lander Kerbey

Maya Raman

Lauren Tran

+3 more

View More author details

Table of Contents (12) Chapters

Preface

1. Introduction to MongoDB

2. MongoDB Architecture FREE CHAPTER

3. Developer Tools

4. Data Modeling and Index Optimization

5. Queries

6. Database Operations

7. Security

8. MongoDB Atlas

9. Atlas Search

10. Other Books You May Enjoy

11. Index

Atlas Search

This chapter dives into some of the standout features of MongoDB Atlas: Atlas Search and Vector Search. One of the great advantages of these features is their seamless integration into Atlas, enabling you to start using your data right away without the need for additional software in your tech stack.

While both Atlas Search and Vector Search are designed to help you perform searches, they operate in distinct ways. Atlas Search is a full-text search feature. It allows you to create search indexes on your collections, enabling efficient and powerful lexical searches across your data.

On the other hand, Vector Search harnesses embedding models to conduct semantic searches. This capability brings the power of AI to your fingertips, allowing you to perform more nuanced searches based on meaning rather than just keywords. When combined, these features enable hybrid searches, supercharging your search results with both keyword precision and contextual understanding.

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Authors (7)

Rachelle Palmer

Rachelle Palmer

Rachelle Palmer is the Product Leader for Developer Database Experience and Developer Education at MongoDB, overseeing the driver client libraries, documentation, framework integrations, and MongoDB University. She has built sample applications for MongoDB in Java, PHP, Rust, Python, Node.js, and Ruby. Rachelle joined MongoDB in 2013 and was previously the Director of the Technical Services Engineering team, creating and managing the team that provided support and CloudOps to MongoDB Atlas.

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Jeffrey Allen

Jeffrey Allen

Jeffery Allen is a Technical Writer at MongoDB, based in the New York City area. He focuses on server documentation and works closely with Product and Engineering teams to develop examples that reflect real-world use cases, especially pertaining to data modeling and the MongoDB query language. Before joining MongoDB, Jeff worked as a full-stack web developer. Jeff also enjoys playing guitar and piano and produces electronic music in his spare time.

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Parker Faucher

Parker Faucher

Parker Faucher is a self-taught Software Engineer with over six years of experience in technical education. He has authored more than 100 educational videos for MongoDB, establishing himself as a knowledgeable resource in database technologies. Currently, Parker focuses on Artificial Intelligence and Search technologies, exploring innovative solutions in these rapidly evolving fields. When not advancing his technical expertise, Parker enjoys spending quality time with his family and maintains an avid interest in collecting comic books.

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Alison Huh

Alison Huh

Alison Huh is a New York City-based Technical Writer on MongoDB's server documentation team. In addition to the core database, she focuses on documenting MongoDB user tools such as Compass, Mongosync, and IDE extensions. Outside of MongoDB, Alison is currently pursuing her M.A. in Instructional Technology and Media at Teachers College, Columbia University, exploring the intersections of design, digital media, and learning. In her free time, Alison loves going on runs, crafting small trinkets, and experiencing live music.

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Lander Kerbey

Lander Kerbey

Lander Kerbey is a Technical Writer at MongoDB, specializing in Atlas Stream Processing. Prior to MongoDB, he worked at InterSystems, documenting various parts of the HealthShare suite, along with their various data analytics tools. His 11 years of experience as an educator informs his approach to documentation, as he strives to create “Aha!” moments for users.

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Maya Raman

Maya Raman

Maya Raman is a Technical Writer and sometimes-software engineer at MongoDB. She is passionate about the intersections between the environment, art and literature, technology, and people. She is based in New York City and likes to spend her time hanging out in Prospect Park, even in winter.

See other products by Maya Raman

Lauren Tran

Lauren Tran

Lauren Tran is a Technical Writer at MongoDB with a background in Communications and Computer Science. She is on the Server Documentation team and mainly specializes in Information Architecture, Time Series data, and Search. Lauren is passionate about creating accessible and inclusive documentation that caters to diverse audiences. She is based in Chicago following four years in New York City and in her free time, enjoys reading on the beach at Lake Michigan and listening to Taylor Swift music.

See other products by Lauren Tran

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