Amazon DynamoDB vs MongoDB
On the evidence we track, Amazon DynamoDB leads this comparison with a composite score of 88/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for nosql databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Amazon DynamoDB
LeaderA fully managed cloud database service for key-value and document data, providing automatic scaling, pay-per-request billing, instant availability, and single-digit millisecond performance without requiring infrastructure management or maintenance.
MongoDB
MongoDB is a fully managed cloud database that uses flexible document-based storage and supports complex queries, analytics, and advanced search capabilities including vector and full-text search functionality.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Amazon DynamoDB
LeaderFrom pay-per-request usage or provisioned capacity. Free tier includes 200M requests/month and 25GB storage.
- On-DemandPay per read/write request and storage used
- Serverless
- Automatic scaling
- Vector search
- ACID transactions
- Global tables
- Provisioned CapacityFixed provisioned throughput with optional reserved capacity
- Predictable pricing
- Reserved capacity discounts
- Write throughput provisioning
- Free TierFree
- Learning and development
- Personal apps
- Prototypes
MongoDB
Free tier (512MB), Flex from $8–$30/month, Dedicated from $56.94/month
- Free (M0)Free
- 512MB storage
- 32MB sort memory
- 100 ops/sec
- shared vCPUs
- replica set
- Flex Clusters$8–$30/month based on usage
- hourly billing
- monthly invoices
- Dedicated ClustersFrom $56.94/month
- dedicated resources
- auto-scaling
- horizontal scaling via sharding
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Amazon DynamoDB
Leader- AWS Lambda
- Amazon OpenSearch Service
- Amazon SageMaker
- Amazon Redshift
- Amazon S3 Tables
- DynamoDB Accelerator (DAX)
- AWS Key Management Service (KMS)
- AWS Identity and Access Management (IAM)
- AWS CloudWatch
- AWS PrivateLink
- DynamoDB Accelerator
- Kinesis Data Streams
- CloudWatch
- Amazon Kinesis Data Streams
- Amazon Bedrock
- OpenAI
- Cohere
MongoDB
- Vertex AI
- BigQuery
- Datastream
- Google Kubernetes Engine
- Looker
- Apigee
- Apache Kafka
- Google Vertex AI
- Google Cloud BigQuery
- Google Cloud Datastream
- Google Cloud Functions
- Kubernetes
Amazon DynamoDB or MongoDB: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.