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Imply vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 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)
12th
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
7.5
Number of Reviews
47
Ranking in other categories
Managed NoSQL Databases (6th)
 

Mindshare comparison

As of February 2025, in the Database as a Service (DBaaS) category, the mindshare of Imply is 0.6%, up from 0.3% compared to the previous year. The mindshare of MongoDB Atlas is 15.0%, up from 14.0% 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.
Luca Botti - PeerSpot reviewer
Supportive features enable effective data management and growth
I find MongoDB Atlas highly scalable and easy to use, with very good support. The pricing is quite scalable and applies to various scenarios, both for smaller and bigger companies. MongoDB Atlas has supported our data growth well, and my overall impression is very positive. It is easy to work with and has a reliable support structure. For structured data storage and performance, it provides a comprehensive solution, and the feedback was generally positive.

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."
"It enables us to get work done quickly and get to our data."
"Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas."
"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."
"The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint."
"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."
"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."
"It can store data as a flat file, similar to a file system."
"The cloud-based nature of this solution makes it flexible and scalable."
 

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."
"From an improvement standpoint, MongoDB can improve security."
"Searching and browsing through the collection must be made easier."
"The speed when combining two documents is concerning."
"The product's file storage documentation needs improvement."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
"The UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
 

Pricing and Cost Advice

"Imply pricing is in the middle range. Understanding the data model can help reduce overall system costs."
"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."
"The solution is fairly priced."
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."
"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."
"It is an open-source platform."
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Top Industries

By visitors reading reviews
No data available
Computer Software Company
18%
Financial Services Firm
15%
Healthcare Company
6%
Comms Service Provider
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 pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale d...
What needs improvement with MongoDB Atlas?
I am not an expert on what improvements could be made to MongoDB. The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers.
 

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: January 2025.
838,640 professionals have used our research since 2012.