How is MongoDB Atlas priced?

MongoDB Atlas is priced on consumption across cluster tier, storage, data transfer, and add on services such as Atlas Search, Atlas Vector Search, Atlas Stream Processing, and Atlas Online Archive. Pricing varies by cloud (AWS, Azure, GCP) and region.

Should we accept a MongoDB Atlas committed use commitment?

Often yes. The broader committed dollar framework drives the broader cluster tier discount framework. The buyer side framework requires the broader rollover protection, the broader true forward management, and the broader unused commitment protection.

What discount range is realistic?

Fifteen to thirty five percent off the broader pay as you go framework is realistic at the broader enterprise scale, with deeper discounts at three year committed dollar levels and where Amazon DocumentDB and Azure Cosmos DB bake offs are credible.

Should we run MongoDB Atlas on AWS, Azure, or GCP?

The broader cloud burndown framework matters. Run Atlas on the cloud where the existing EDP, MACC, or CUD commitment is largest. Then negotiate the broader marketplace burndown framework against that commitment.

MongoDB Atlas Negotiation: White Paper

MongoDB Atlas is the load bearing MongoDB cloud database platform framework, anchoring the broader cloud document database framework against the broader Amazon DocumentDB, Azure Cosmos DB, Google Cloud Firestore, and Couchbase market. MongoDB Atlas segments the broader framework across the broader MongoDB Atlas cluster framework, the broader Atlas dedicated tier framework (broader M10 through broader M700 framework), the broader Atlas serverless framework, the broader Atlas Search framework (broader Lucene framework), the broader Atlas Vector Search framework, the broader Atlas Stream Processing framework, the broader Atlas Data Federation framework, the broader Atlas Online Archive framework, the broader Atlas Data Lake framework, the broader Atlas Triggers framework, the broader Atlas App Services framework, the broader Atlas Charts framework, the broader Atlas committed use framework, and the bespoke framework at the upper customer scale. This paper sets out the buyer side framework for MongoDB Atlas negotiation. Read the related Vendor Shield, the renewal program, the AWS EDP negotiation, and the benchmarking practice.

What you will learn

The eleven move buyer side framework
Atlas cluster framework
Atlas dedicated tier framework
Atlas serverless framework
Atlas Search and Vector Search framework
Atlas committed use framework
Cloud burndown framework: AWS EDP, Azure MACC, GCP CUD
Competitive framework: Amazon DocumentDB, Azure Cosmos DB, Google Cloud Firestore, Couchbase

MongoDB Atlas Negotiation

The cluster framework
The dedicated tier framework
The serverless framework
The Search and Vector Search framework
The committed use framework
The cloud burndown framework
The eleven move negotiation framework

Who this is for

['CIOs and procurement leaders facing a MongoDB Atlas renewal', 'Data platform leaders evaluating Atlas versus DocumentDB and Cosmos DB', 'Cloud commercial owners managing AWS EDP, Azure MACC, GCP CUD', 'AI platform leaders sizing Atlas Vector Search against the broader generative AI framework']

White Paper · MongoDB Atlas