# Mongodb Atlas

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/mongodb-atlas
- **Dataset:** https://optimly.ai/brand/mongodb-atlas.json
- **Markdown:** https://optimly.ai/brand/mongodb-atlas/llms.txt
- **Official website:** https://mongodb.com
- **Slug:** mongodb-atlas
- **Categories:** developer-tools

## Overview

- **Tagline:** Offers unmatched resilience, scalability, and enterprise-grade security, eliminates operational complexity, is AI-ready with vector search (RAG), utilizes an intuitive document model for faster innovation, and supports multi-region and multi-cloud deployments across AWS, Azure, and Google Cloud with zero-downtime upgrades.
Source: Brand's website (https://mongodb.com) · 2026-10-04

- **Description:** MongoDB Atlas is a fully managed cloud database service designed to simplify deploying, scaling, and managing MongoDB databases. It provides unmatched resilience, scalability, and enterprise-grade security, enabling developers to build AI-powered applications, optimize data management with an intuitive document model, and deploy globally across AWS, Azure, and Google Cloud with ease.
Source: Brand's website (https://mongodb.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Fully managed cloud database
  - document model support
  - full-text search
  - vector search
  - stream processing
  - unified Query API
  - multi-cloud and multi-region deployments
  - automated scaling and optimization tools
  - enterprise-grade security features.
Source: Brand's website (https://mongodb.com) · 2026-10-04

- **Pricing:** Flexible pay-as-you-go with Free, Flex (granular billing), and Dedicated (fixed pricing) tiers, featuring auto-scaling for cost efficiency.
Source: Brand's website (https://mongodb.com) · 2026-10-04

## Audience

- **Target industry:** Developers, engineering teams, and businesses seeking scalable, resilient, and secure database solutions, particularly for AI-powered applications, financial services, and retail.
Source: Brand's website (https://mongodb.com) · 2026-10-04

Page last updated 2026-10-17.