Amazon Web Services vs. MongoDB Atlas

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Web Services
Score 8.7 out of 10
N/A
Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services. With over 165 services offered, AWS services can provide users with a comprehensive suite of infrastructure and computing building blocks and tools.
$100
per month
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 Web ServicesMongoDB Atlas
Editions & Modules
Free Tier
$0
per month
Basic Environment
$100 - $200
per month
Intermediate Environment
$250 - $600
per month
Advanced Environment
$600-$2500
per month
Dedicated Clusters
$57
per month
Dedicated Multi-Reigon Clusters
$95
per month
Shared Clusters
Free
Offerings
Pricing Offerings
Amazon Web ServicesMongoDB Atlas
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsAWS allows a “save when you commit” option that offers lower prices when you sign up for a 1- or 3- year term that includes an AWS service or category of services.
More Pricing Information
Community Pulse
Amazon Web ServicesMongoDB Atlas
Features
Amazon Web ServicesMongoDB Atlas
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Amazon Web Services
8.5
70 Ratings
3% above category average
MongoDB Atlas
-
Ratings
Service-level Agreement (SLA) uptime8.966 Ratings00 Ratings
Dynamic scaling9.267 Ratings00 Ratings
Elastic load balancing9.563 Ratings00 Ratings
Pre-configured templates7.459 Ratings00 Ratings
Monitoring tools8.567 Ratings00 Ratings
Pre-defined machine images7.460 Ratings00 Ratings
Operating system support8.565 Ratings00 Ratings
Security controls8.768 Ratings00 Ratings
Automation8.519 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Web Services
-
Ratings
MongoDB Atlas
9.1
6 Ratings
5% above category average
Automatic software patching00 Ratings9.36 Ratings
Database scalability00 Ratings9.56 Ratings
Automated backups00 Ratings9.76 Ratings
Database security provisions00 Ratings9.36 Ratings
Monitoring and metrics00 Ratings7.96 Ratings
Automatic host deployment00 Ratings9.05 Ratings
Best Alternatives
Amazon Web ServicesMongoDB Atlas
Small Businesses
DigitalOcean Droplets
DigitalOcean Droplets
Score 9.3 out of 10
IBM Cloudant
IBM Cloudant
Score 7.6 out of 10
Medium-sized Companies
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 7.6 out of 10
Enterprises
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 7.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Web ServicesMongoDB Atlas
Likelihood to Recommend
8.9
(81 ratings)
9.1
(6 ratings)
Likelihood to Renew
9.4
(10 ratings)
-
(0 ratings)
Usability
8.0
(12 ratings)
8.0
(1 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
7.2
(24 ratings)
10.0
(2 ratings)
Online Training
7.0
(1 ratings)
-
(0 ratings)
Implementation Rating
10.0
(3 ratings)
-
(0 ratings)
User Testimonials
Amazon Web ServicesMongoDB Atlas
Likelihood to Recommend
Amazon AWS
I find Amazon Web Services more easy to use as compared to some other public cloud offerings. e.g. storing data in S3 is very easy and access and also be maintained using easily using bucket policies. For container orchestration ECS is much user friendly and intuitive as compared to Kubernetes services. It would have been better if Amazon Web Services could provide a logical container for multiple resources (e.g. resource groups in Azure), which would make it easy to clean up the resources.
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MongoDB
It is good if you: 1. Have unstructured data that you need to save (since it is NoSQL DB) 2. You don't have time or knowledge to setup the MongoDB Atlas, the managed service is the way to go (Atlas) 3. If you need a multi regional DB across the world
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Pros
Amazon AWS
  • Starting an instance and accessing it for testing purpose, demo or production deployment its always easy.
  • All the things which are available over AWS are pretty well managed and easy to use.
  • You might find everything you required for an product and other development over AWS.
  • Its suitable for both either an enterprise or an startup
  • Various resources and documentation are available in case you struck somewhere.
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MongoDB
  • Generous free and trial plan for evaluation or test purposes.
  • New versions of MongoDB are able to be deployed with Atlas as soon as they're released—deploying recent versions to other services can be difficult or risky.
  • As the key supporters of the open source MongoDB project, the service runs in a highly optimized and performant manner, making it much easier than having to do the work internally.
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Cons
Amazon AWS
  • The AWS Management Console can be overwhelming. so a better dashboard and organizing it would improve usability.
  • The pricing models are complex. We need a more clear price calculators and cost management tools to manage our expenses better.
  • Enhancements in cross service compatibility and easier third party integrations could streamline workflow.
  • Simplifying model training in SageMaker and improving IAM for granular access control would make AWS more user friendly
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MongoDB
  • For someone new, it could be challenging using MongoDB Atlas. Some official video tutorials could help a lot
  • Pricing calculation is sometimes misleading and unpredictable, maybe better variables could be used to provide better insights about the cost
  • Since it is a managed service, we have limited control over the instances and some issues we faced we couldn't;'t know about without reaching out to the support and got fixed from their end. So more control over the instance might help
  • The way of managing users and access is somehow confusing. Maybe it could be placed somewhere easy to access
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Likelihood to Renew
Amazon AWS
We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.
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MongoDB
No answers on this topic
Usability
Amazon AWS
The overall usability is simple but also provides a very good outlook on reporting. We use the tool for varoius applications and mutliple purposes and it is broad enough to cover all of our bases. We have various team members with different levels of knowledge that have all been successful.
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MongoDB
I would give it 8. Good stuff: 1. Easy to use in terms of creating cluster, integrating with Databases, setting up backups and high availability instance, using the monitors they provide to check cluster status, managing users at company level, configure multiple replicas and cross region databases. Things hard to use: 1. roles and permissions at DB level. 2. Calculate expected costs
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Reliability and Availability
Amazon AWS
Availability is very good, with the exception of occasional spectacular outages.
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MongoDB
No answers on this topic
Performance
Amazon AWS
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
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MongoDB
No answers on this topic
Support Rating
Amazon AWS
The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to
immediately search for their compatible software's and also to guide them in a
good direction. Moreover, this product is a good suggestion for every type of
company because of its affordability and ease of use.
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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
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Implementation Rating
Amazon AWS
The API's were very well documented and was Janova's main point of entry into the services.
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MongoDB
No answers on this topic
Alternatives Considered
Amazon AWS
Amazon Web Services is well suited when we have a huge amount of data to store, process, manipulate and get meaningful information out of. It is also suitable when we need very fast data retrieval from the database. They provide a superior product at a fair price which allows us to further our goals and push the limits of what we are capable of as a team / company.
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MongoDB
MongoDB is a great product but on premise deployments can be slow. So we turned to Atlas. We also looked at Redis Labs and we use Redis as our side cache for app servers. But we love using MongoDB Atlas for cloud deployments, especially for prototyping because we can get started immediately. And the cost is low and easy to justify.
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Return on Investment
Amazon AWS
  • Using Amazon Web Services has allowed us to develop and deploy new SAAS solutions quicker than we did when we used traditional web hosting. This has allowed us to grow our service offerings to clients and also add more value to our existing services.
  • Having AWS deployed has also allowed our development team to focus on delivering high-quality software without worrying about whether our servers will be able to handle the demand. Since AWS allows you to adjust your server needs based on demand, we can easily assign a faster server instance to ease and improve service without the client even knowing what we did.
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MongoDB
  • Positive - Faster provisioning so we don't have development teams waiting.
  • Positive - Automated backups and server management - eliminates need for dedicated DBAs.
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