AnnouncementBuilt for unpredictable AI demand: Atlas Infinite and MongoDB 9.0 are here. Read more >  >>
AnnouncementMeet the intelligent data platform built for the AI era. Read more > >>
NewNow in public preview: Atlas Agent Engine, the secure way to run AI agents at scale. Read more > >>

ATLAS

Scale your database with ease

Scale your MongoDB Atlas clusters with zero downtime. Leverage auto-scaling, sharding, and vertical scaling to easily handle any workload.

Get Started

Zero downtime vertical scaling

Add CPU power, RAM, and network throughput with a rolling upgrade that keeps your application online. Vertical scaling is ideal for steady increases in workload or complex queries that require more memory to keep "hot" data in RAM.

Learn more
Zero downtime vertical scaling illustration
Unlimited horizontal scaling illustration

Unlimited horizontal scaling

Automatically partition and distribute data across multiple clusters (shards). Sharding is the best path for applications with massive data or write volumes that a single server simply cannot handle.

Learn more

Set-and-forget auto-scaling

Monitor workloads in real time and automatically scale your clusters up or down based on application needs. Choose between reactive, predictive, or storage auto-scaling to maintain performance without over-provisioning.

Learn more
Set-and-forget auto-scaling illustration
Illustration of a couple of graphs representing MongoDB's auto-scaling capabilities

Autonomous overload protection for Atlas clusters

MongoDB 9.0 features Intelligent Workload Management (IWM), a managed availability capability designed to protect clusters by ensuring they remain responsive and predictable during overload. It essentially buys time for auto-scaling to add capacity or for an operator to act, ensuring the cluster stays stable.

Learn more

Auto-scaling in action

View all customers
Coinbase logo
60%Reduction in scaling time
3.25xReduction in cluster deployment time
Financial Technology
“We’ve brought scaling times down from upward of 70 minutes to 25 minutes—less than half the time it used to take.”
Sean Hurley
Staff Software Engineer, Coinbase
Read Case Study
Coinbase logo
60%Reduction in scaling time
3.25xReduction in cluster deployment time
Financial Technology
“We’ve brought scaling times down from upward of 70 minutes to 25 minutes—less than half the time it used to take.”
Sean Hurley
Staff Software Engineer, Coinbase
Read Case Study

Auto-scaling resources

Master MongoDB auto-scaling. Find videos, tutorials, and case studies to understand horizontal, vertical, and zero-downtime scaling.
general_content_playVIDEO CASE STUDY

How Coinbase achieved rapid auto-scaling with MongoDB

See how Coinbase performs capacity planning and uses Atlas auto-scaling to significantly speed up vertical scaling during market volatility.

Watch video
mdb_document_modelVIDEO CASE STUDY

Scaling MongoDB to Billions of Documents

Learn how Bazaarvoice leverages sharding and search to improve real-time data accessibility while handling billions of documents.

Watch video
general_features_scale_biggerVIDEO TUTORIAL

Essential MongoDB Scalability Strategies

Watch our lead product manager explore horizontal scaling options without adding significant complexity to the application.

Watch video

FAQ

Ready to Build Bigger?

MongoDB Atlas makes scaling as easy as setting the right configuration. Start building on a platform that grows with you.
Try FreeLearn more
WHY SCALE ON ATLAS?
  • Multi-region availability
  • Zero-downtime upgrades
  • Automated sharding
  • Optimized storage scaling
  • Elastic resource limits