Report card

Do AI agents pick Mongoose?

How often agents choose Mongoose when a developer needs database & orm — measured across Claude, GPT, Gemini.

Mongoose

#3 of 6 database
8%Pick Rate
95% CI 5%12%

When developers ask an AI agent for database, Mongoose is picked 8% of the time — ranking #3 of 6 measured across Claude, GPT, Gemini.

Picked 8% Named, not picked 1% Never surfaced 92%

Beaten by Prisma (21%), TypeORM (10%).

Awareness

0 docs in FineWeb (10BT sample) · 56 URLs in Common Crawl

In the raw web crawl, but thin in the filtered corpus models actually train on — an awareness gap at the source.

AdoptionDid the pick convert to installs? Public Adoption = npm downloads of your packages. The proof half of the funnel.

23.1M installs / month ▲ 5% MoM

Installs are roughly flat month over month.

Get the full report

The per-model and per-surface breakdown for Mongoose — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.

About Mongoose

An Object Document Mapper (ODM) for MongoDB and Node.js.

Mongoose provides a schema-based solution for modeling MongoDB data in Node.js applications. It handles validation, casting, query building, and business logic hooks on top of MongoDB's native driver, making it easier to work with structured data in an otherwise schema-free database. It is aimed at Node.js developers who want more structure and conventions when interacting with MongoDB.

Where to start

Install the package, define a Schema to describe your document shape, then compile it into a Model to start reading and writing documents. The official Mongoose documentation at mongoosejs.com covers the full API and common patterns.

Install

Links and summary verified from public sources.

The rest of the Database & ORM ranking

← Full Database & ORM leaderboard · How this is measured