Amazon DynamoDB vs. MongoDB Atlas

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon DynamoDB
Score 8.8 out of 10
N/A
Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
MongoDB Atlas
Score 8.6 out of 10
N/A
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
$57
per month
Pricing
Amazon DynamoDBMongoDB Atlas
Editions & Modules
Provisioned - Read Operation
$0.00013
capacity unit per hour
Provisioned - Write Operation
$0.00065
capacity unit per hour
Provisioned - Global Tables
$0.000975
per Read Capacity
On-Demand Streams
$0.02
per 100,000 read operations
Provisioned - Streams
$0.02
per 100,000 read operations
On-Demand Data Requests Outside AWS Regions
$0.09
per GB
Provisioned - Data Requests Outside AWS Regions
$0.09
per GB
On-Demand Snapshot
$0.10
per GB per month
Provisioned - Snapshot
$0.10
per GB per month
On-Demand Restoring a Backup
$0.15
per GB
Provisioned - Restoring a Backup
$0.15
per GB
On-Demand Point-in-Time Recovery
$0.20
per GB per month
Provisioned - Point-in-Time Recovery
$0.20
per GB per month
On-Demand Read Operation
$0.25
per million requests
On-Demand Data Stored
$0.25
per GB per month
Provisioned - Data Stored
$0.25
per GB per month
On-Demand - Write Operation
$1.25
per million requests
On-Demand Global Tables
$1.875
per million write operations replicated
Dedicated Clusters
$57
per month
Dedicated Multi-Reigon Clusters
$95
per month
Shared Clusters
Free
Offerings
Pricing Offerings
Amazon DynamoDBMongoDB Atlas
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon DynamoDBMongoDB Atlas
Considered Both Products
Amazon DynamoDB
Chose Amazon DynamoDB
Performance at high scales is better and the cost at high scales is less. If one has a ton of data generated and has to work their way through it, I think Amazon DynamoDB should the go-to database. There are no compromises when it comes to performance at a huge scale. With any …
Chose Amazon DynamoDB
The Amazon Web Services managed Amazon DynamoDB has excellent features which makes it stand out from all the others in market right now. The management ease it offers is far superior than its competitors and on top of that the on-demand pricing model is an advantage which works …
Chose Amazon DynamoDB
The automation is much more subtle and it performs way better for internet-scale applications. No matter the number of connections, the performance doesn't dip even a bit.
Chose Amazon DynamoDB
Mongo services are outside of our Vpc and are on a different network. Since most of our infra is on AWS, dynamo by AWS was a natural choice. Most of our engineers are familiar with AWS sdk and the console so that brought in a much smaller learning curve for our engineering team
Chose Amazon DynamoDB
More flexible and easier to get started with than RDS, but, in my opinion, much worse monitoring/cost and query/modeling complexity than MongoDB
Chose Amazon DynamoDB
MongoDB is mostly document store while Amazon DynamoDB supports both key/value and document store making it more versatile. Azure Cosmos DB is multi-modal like Amazon DynamoDB and it makes more sense when you have data already in Azure Cloud. If you are mostly using AWS then …
MongoDB Atlas
Chose MongoDB Atlas
MongoDB Atlas has an excellent rating out there in the market. They have a great supporting team as well. When we have questions about technical stuff, they respond fast. The performance of MongoDB Atlas is the key factor that we choose to use. Because it has such an easy way …
Top Pros
Top Cons
TrustRadius Insights
Amazon DynamoDBMongoDB Atlas
Highlights

TrustRadius
Research Team Insight
Published

Amazon DynamoDB is a NoSQL database powered by Amazon Web Services, while MongoDB Atlas is a database-as-a-service used to maintain and administer MongoDB instances. Though they fall into different categories, both Amazon DynamoDB and MongoDB Atlas in combination with MongoDB instances, allow for the storing, management and querying of data. Businesses of various sizes use both database solutions.

Features

Amazon DynamoDB and MongoDB Atlas both have strong data management features, but have some significant differences that set them apart from each other. Both software options also specialize in slightly different areas, since MongoDB Atlas manages instances of MongoDB while Amazon DynamoDB is a NoSQL database.

Amazon DynamoDB provides an easy to use interface and automates many maintenance features. These usability features make Amazon DynamoDB an excellent choice for businesses with fewer technical staff that need to use database services. Additionally, since Amazon DynamoDB performs all operations through HTTPs endpoints, it is very scalable. Scalability can be important for small businesses that plan to increase their data needs over time.

MongoDB Atlas is highly optimized for work with MongoDB instances. High optimization means users can expect high performance and reliability when working with their databases. Additionally, MongoDB offers continuous backups, meaning that databases can be backed up at any time. Complete database backups are created daily. MongoDB Atlas also provides a free instance that can be used by developers for testing purposes.

Limitations

Amazon DynamoDB and MongoDB Atlas both have essential features, but they also each have some limitations.

Amazon DynamoDB can create on-demand copies of databases, but it’s back up features aren’t as robust as MongoDB Atlas’ out of the box. Additionally, while Amazon DynamoDB can integrate with many AWS technologies, it is not as optimized with them as MongoDB Atlas is with MongoDB instances. This lack of optimization results in lower efficiency compared to MongoDB Atlas.

MongoDB Atlas performs operations using socket connections, meaning it can only manage a certain number of concurrent connections. Limited simultaneous connections make MongoDB Atlas scalability worse compared to Amazon DynamoDB. Lastly, MongoDB Atlas lacks the integrations with AWS technologies that Amazon DynamoDB offers. Lack of integrations can make MongoDB Atlas a poor choice for organizations that use many AWS technologies.

Pricing

MongoDB Atlas pricing depends on multiple factors such as cloud provider, region, cluster size, and storage needs. Pricing can vary greatly but starts as low as $0.08 per hour. MongoDB Atlas also provides a free instance for developers to use for testing purposes.

Amazon DynamoDB offers two pricing packages. The on-demand pricing package bills depending on how much storage is used and provides a free version for up to 25GB of data storage. Pricing is also offered for provisioned capacity and is priced based on the number of reads and writes per second that the organization expects to need.

Features
Amazon DynamoDBMongoDB Atlas
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon DynamoDB
9.2
70 Ratings
5% above category average
MongoDB Atlas
-
Ratings
Performance9.269 Ratings00 Ratings
Availability9.470 Ratings00 Ratings
Concurrency8.868 Ratings00 Ratings
Security9.070 Ratings00 Ratings
Scalability9.469 Ratings00 Ratings
Data model flexibility8.667 Ratings00 Ratings
Deployment model flexibility10.023 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon DynamoDB
-
Ratings
MongoDB Atlas
9.3
5 Ratings
6% above category average
Automatic software patching00 Ratings9.55 Ratings
Database scalability00 Ratings9.05 Ratings
Automated backups00 Ratings9.55 Ratings
Database security provisions00 Ratings9.55 Ratings
Monitoring and metrics00 Ratings9.55 Ratings
Automatic host deployment00 Ratings9.05 Ratings
Best Alternatives
Amazon DynamoDBMongoDB Atlas
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon DynamoDBMongoDB Atlas
Likelihood to Recommend
8.9
(80 ratings)
10.0
(5 ratings)
Likelihood to Renew
10.0
(34 ratings)
-
(0 ratings)
Usability
8.4
(4 ratings)
-
(0 ratings)
Performance
9.1
(44 ratings)
-
(0 ratings)
Support Rating
6.3
(4 ratings)
10.0
(2 ratings)
Product Scalability
9.1
(44 ratings)
-
(0 ratings)
User Testimonials
Amazon DynamoDBMongoDB Atlas
Likelihood to Recommend
Amazon AWS
It’s great for server less and real-time applications. It would be great for gaming and mobile apps. However, if you need relational database and have fixed budget, do not use it. While budget can be managed, you need to be careful. Also this is not a tool for storing big data, there are other wide-column database types you could use for it ins the ad
Read full review
MongoDB
I would recommend MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as MongoDB Atlas scales up and down very quickly.
Read full review
Pros
Amazon AWS
  • To manage varying workloads, it enables users to increase capacity as necessary and decrease it as needed.
  • Users can take advantage of its auto-scaling, in-memory caching, and backup without paying for the services of a database administrator.
  • We can use it for low scale operations.
Read full review
MongoDB
  • DB Provisioning.
  • DB Management.
Read full review
Cons
Amazon AWS
  • Cost model may not be easy to control and may lead to higher costs if not carefully planned
  • Indexing may be a cost culprit when not planned, because it's not included on the data costs
  • The Query Language may not fulfill everybody's expectations, as it has less features than those of competitors.
Read full review
MongoDB
  • As an independent entity, MongoDB Atlas is not included in existing subscriptions from AWS or Azure, requiring an additional support plan and reliance on a third party.
Read full review
Likelihood to Renew
Amazon AWS
It's core to our business, we couldn't survive without it. We use it to drive everything from FTP logins to processing stories and delivering them to clients. It's reliable and easy to query from all of our pipeline services. Integration with things like AWS Lambda makes it easy to trigger events and run code whenever something changes in the database.
Read full review
MongoDB
No answers on this topic
Usability
Amazon AWS
Functionally, DynamoDB has the features needed to use it. The interface is not as easy to use, which impacts its usability. Being familiar with AWS in general is helpful in understanding the interface, however it would be better if the interface more closely aligned with traditional tools for managing datastores.
Read full review
MongoDB
No answers on this topic
Performance
Amazon AWS
It works very well across all the regions and response time is also very quick due to AWS's internal data transfer. Plus if your product requires HIPPA or some other regulations needs to be followed, you can easily replicate the DB into multiple regions and they manage all by it's own.
Read full review
MongoDB
No answers on this topic
Support Rating
Amazon AWS
I have not had to contact support for this service, however I have had to contact AWS for other services and their support has been good.
Read full review
MongoDB
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly
Read full review
Alternatives Considered
Amazon AWS
The only thing that can be compared to DynamoDB from the selected services can be Aurora. It is just that we use Aurora for High-Performance requirements as it can be 6 times faster than normal RDS DB. Both of them have served as well in the required scenario and we are very happy with most of the AWS services.
Read full review
MongoDB
MongoDB Atlas has been in the market for very long time and there are bunch of documentation, training and support for it. It also is specifically designed for the use case similar to our project and big companies in the market uses them for very high load which made us confident about our choice.
Read full review
Scalability
Amazon AWS
I have taken one point away due to its size limits. In case the application requires queries, it becomes really complicated to read and write data. When it comes to extremely large data sets such as the case in my company, a third-party logistics company, where huge amount of data is generated on a daily basis, even though the scalability is good, it becomes difficult to manage all the data due to limits.
Read full review
MongoDB
No answers on this topic
Return on Investment
Amazon AWS
  • Some developers see DynamoDB and try to fit problems to it, instead of picking the best solution for a given problem. This is true of any newer tool that people are trying to adopt.
  • It has allowed us to add more scalability to some of our systems.
  • As with any new technology there was a ramp up/rework phase as we learned best practices.
Read full review
MongoDB
  • Improved our maintainability
  • Reduced daily work compared to self-hosted solutions
  • Reasonable pricing compared to value
Read full review
ScreenShots

Amazon DynamoDB Screenshots

Screenshot of Amazon DynamoDB in the AWS Console