See the complete comparison of MongoDB and DynamoDB: Comparing DynamoDB and MongoDB →
We needed to store complicated data in a simple way. MongoDB’s flexible data model allowed us to have independent tenants in our platform. Relational data stores didn’t give us this option and DynamoDB lacked some key features and flexibility like easily adding secondary compound indexes to an existing data model.
Jeremy Suriel, CTO & Co-Founder, KustomerSee full case study: Kustomer & MongoDB: Building a Customer Journey App with MongoDB & AWS
We needed to store complicated data in a simple way. MongoDB’s flexible data model allowed us to have independent tenants in our platform. Relational data stores didn’t give us this option and DynamoDB lacked some key features and flexibility like easily adding secondary compound indexes to an existing data model.
Jeremy Suriel, CTO & Co-Founder, KustomerSee full case study: Kustomer & MongoDB: Building a Customer Journey App with MongoDB & AWS
Too Little Choice, Too many Surprises, Too Much Money
DynamoDB only works on AWS, unlike MongoDB Atlas which can be deployed on AWS, Microsoft Azure, Google Cloud Platform in multi-cloud deployments, and on premises through other versions. MongoDB’s simple and transparent pricing avoids large unexpected costs. DynamoDB’s throughput-based pricing means a wide range of inputs may affect price, making cost planning and control difficult. Specifically, DynamoDB customers have suffered rapid cost escalation as workloads scale because adjacent AWS services are required to overcome DynamoDB's simplistic key-value design. See Pricing and Commercial Considerations.
Not Enough Raw Power,
Harder to Run
When using DynamoDB, developers miss out on many capabilities needed to build sophisticated applications for their users. MongoDB Atlas offers features such as a rich query language and aggregation pipeline to support sophisticated analytics, strong consistency, robust indexes, extensions to JSON for many data types, and a much larger document size. All these missing features slow down developers. When it comes to operations there are more missing features in DynamoDB. For example MongoDB Performance Advisor and Compass offer automatic performance recommendations, visualize schemas, and construct queries graphically. Compared to more than 100 in MongoDB Atlas, DynamoDB has only 20 operational metrics.
Build any Class of Application on a Modern, Multi-Cloud Database Platform
MongoDB Cloud is a foundation for working with data. MongoDB Atlas, Search, and Data Federation serve any class of transactional, operational or analytics workloads through a common API, while Atlas for the Edge extends the data foundation to the edge.