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Imply vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Imply
Ranking in Database as a Service (DBaaS)
13th
Average Rating
8.0
Reviews Sentiment
8.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Database as a Service (DBaaS)
3rd
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
49
Ranking in other categories
Managed NoSQL Databases (7th)
 

Mindshare comparison

As of May 2025, in the Database as a Service (DBaaS) category, the mindshare of Imply is 0.5%, up from 0.4% compared to the previous year. The mindshare of MongoDB Atlas is 14.2%, down from 15.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS)
 

Featured Reviews

DB
Provides cost efficiency and flexible control over clusters
The managed offering has two models: Polaris and Hybrid. We explored both during the PoC phase. The Hybrid model gives you the flexibility to keep your data safe on your own site but still have a managed service to control your infrastructure. The Polaris model, on the other hand, does not give you an insight into what kind of AWS box you are using. Based on your capacity planning, you can just choose the correct size of the box. It also gives you a dashboard. I would like Imply to include more flexible billing models with added options for superior infrastructure control, flexibility in scaling, and cost-effectiveness, such as choosing the number of CPUs required. We should have more flexibility and control over the infrastructure in terms of upscaling and downscaling. Currently, there are only certain tightly bound options. With more flexible options, more customers will adopt the solution.
Laksiri Bala - PeerSpot reviewer
Room for improvement in data handling leads to enhanced cost-effective data management performance
It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"We have not faced any downtime."
"One of the best parts of the solution is the Hybrid model that allows flexibility to keep control over the clusters."
"The auto-scaling feature is the most valuable aspect."
"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."
"The product provides quick transaction service, high availability, and efficient scalability features."
"The cloud-based nature of this solution makes it flexible and scalable."
"It is a scalable solution because we use quite a lot of data, and it handles it well."
"The solution is easy to use, the console is user-friendly, and overall a well-designed solution. It takes a complex system and makes it easy to understand. Additionally, the solution is always advancing and they provide a roadmap into what is coming in the future."
"The most useful feature is the management of the backup."
"The dynamic structures are the most valuable."
 

Cons

"I would like Imply to include more flexible billing models with added options for superior infrastructure control, flexibility in scaling, and cost-effectiveness, such as choosing the number of CPUs required. We should have more flexibility and control over the infrastructure in terms of upscaling and downscaling. Currently, there are only certain tightly bound options."
"I would like Imply to include more flexible billing models with added options for superior infrastructure control, flexibility in scaling, and cost-effectiveness, such as choosing the number of CPUs required."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
"It would be better if there were more integration capabilities with other products."
"Customer support needs improvement knowledge-wise."
"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."
"There are some features that could be useful for the customers I work with, which are related to migration from on-prem to the cloud."
"The replica side, like the venue, can be improved."
"The product's data aggregation feature needs to work faster."
"I would like to have better performance for user experience with the solution."
 

Pricing and Cost Advice

"Imply pricing is in the middle range. Understanding the data model can help reduce overall system costs."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"The pricing and licensing is great."
"The solution is fairly priced. I rate the pricing a seven out of ten."
"We pay for a license."
"The tool is free since it's an open-source product."
"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."
"The pricing is acceptable for enterprise tier."
"The purchasing process through the AWS Marketplace was very good."
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
19%
Financial Services Firm
15%
Comms Service Provider
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Imply?
Imply pricing is in the middle range. Understanding the data model can help reduce overall system costs. If you understand the data model clearly and go in-depth while doing your capacity planning,...
What needs improvement with Imply?
The managed offering has two models: Polaris and Hybrid. We explored both during the PoC phase. The Hybrid model gives you the flexibility to keep your data safe on your own site but still have a m...
What is your primary use case for Imply?
We are serving the Ads business for one of the biggest startups in India. Our use case involves capturing events or impressions generated on our app and performing aggregations of the users. If som...
What do you like most about MongoDB Atlas?
There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...
What is your experience regarding pricing and costs for MongoDB Atlas?
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
What needs improvement with MongoDB Atlas?
It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporti...
 

Comparisons

 

Also Known As

No data available
Atlas
 

Overview

 

Sample Customers

Information Not Available
Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Database as a Service (DBaaS). Updated: May 2025.
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