BLOGAnnounced at MongoDB.local NYC 2024: A recap of all announcements and updates — Learn more >

MongoDB Atlas Datasheet

MongoDB Atlas: Database as a Service on AWS, Azure, GCP

MongoDB Atlas delivers the world’s leading database for modern applications as a fully automated cloud service engineered and run by the same team that builds the database. Proven operational and security practices are built in, automating time-consuming administration tasks such as infrastructure provisioning, database setup, ensuring availability, global distribution, backups, and more. The easy-to-use control panel and API let you spend more time building your applications and less time managing your database.

Available on-demand through a pay-as-you-go model, MongoDB Atlas provides all of the features of MongoDB without the operational heavy lifting and is designed for agile teams who’d rather spend their time building apps than managing databases.

  • Automated database lifecycle.

    MongoDB Atlas automates infrastructure provisioning, setup, and deployment so your teams can get the database resources they need, when they need them. Patches and minor version upgrades are applied automatically. And when you need to modify your cluster — whether it’s to adjust capacity or perform an upgrade — Atlas lets you do so in a few clicks or API calls with no downtime windows required.

  • Always on and durable.

    With MongoDB Atlas, your self-healing clusters are made up of geographically distributed database instances to ensure no single point of failure. You can even replicate your database across multiple cloud regions for multi-region fault tolerance. Atlas also includes powerful features to enhance reliability for your mission-critical production databases, such as continuous backups with point-in-time data recovery.

  • Highly scalable for global applications.

    MongoDB Atlas allows you to scale your database's compute, memory, and storage resources with only a few mouse clicks or an API call. If you need to scale your application to serve globally dispersed users, you can easily deploy a single, distributed database that spans as many cloud regions as you need and provide low latency, responsive read and write access anywhere in the world.

  • Secure from the start.

    With MongoDB Atlas, your databases are deployed in unique Virtual Private Clouds (VPC) for network isolation. Leverage IP whitelisting or VPC Peering, always-on authentication, encryption at rest and encryption in transit, and sophisticated role-based access management to control access to your data. Atlas also supports enterprise security features such as encryption key management, LDAP integration, and database-level auditing for organizations with more advanced requirements.

  • Simplifed performance optimization.

    MongoDB Atlas includes an integrated set of features that take the pain out of database monitoring and optimization. Get deep visibility into your cluster using optimized charts tracking dozens of key metrics. Easily customize and send alerts, see what’s happening in your cluster in real-time, and take advantage of automatically generated suggestions on how to improve query performance.

  • Available on your cloud.

    MongoDB Atlas is available near you, with support for over 50 cloud regions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

A Database Service Like No Other

As the company behind MongoDB, we’re able to deliver a service with advanced features that integrate seamlessly with the newest database capabilities as soon as they are released.

  • Live migrate your data.

    Supporting an app with a MongoDB cluster running somewhere else? Want to migrate an Atlas database between cloud providers? No problem — Atlas makes it simple to live migrate your data with minimal impact to your application.

  • Connect to visualize your data.

    Use MongoDB Atlas as a data source for your SQL-based BI and analytics platforms. Seamlessly create visualizations and dashboards to help you extract actionable insights from your multi-structured data.

  • Restore data in minutes.

    Accidentally delete an important document? Rather than restore your entire database, MongoDB Atlas allows you to perform queries against your backup snapshots and restore data at the document level in minutes.

  • React quickly to anomalies.

    See what’s happening in your cluster live so you can react quickly. In addition to showing memory usage, network in/out, and operations, the built-in real-time performance panel highlights your hottest collections, long-running queries, and lets you kill slow operations.

  • Receive automated performance tips.

    The built-in Performance Advisor will highlight the collections experiencing suboptimal performance, give you examples of slow-running queries and relevant metrics, and most importantly, automatically generate index suggestions to help you optimize your database.

  • Support applications serving a global audience.

    Global clusters in MongoDB Atlas allow you to deploy a fully managed, distributed database that provides low latency, responsive reads and writes to users anywhere, with strong data placement controls to satisfy regulations.

  • Support your most sensitive workloads.

    Enterprise security features such as LDAP integration, encryption key management, and database-level auditing grant you more control over how you secure your environment.

  • Support for protected health information.

    Use MongoDB Atlas to develop HIPAA-compliant services and solutions that address business needs in the healthcare space.

Learn more at


More like this

View all resources

MongoDB Architecture Guide

MongoDB enables you to meet the demands of modern apps with an application data platform built on several core architectural foundations


Who Owns Security in the Cloud?

At MongoDB, our overriding mission is to make data easier to work with. This can’t happen if data becomes compromised for any reason


Application-Driven Intelligence: Defining the Next Wave of Modern Apps

The digital economy demands smarter applications and faster predictive insights