Try our new research platform with insights from 80,000+ expert users

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
7.4
Number of Reviews
48
Ranking in other categories
Managed NoSQL Databases (6th)
 

Mindshare comparison

As of April 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 14.5%, down from 14.6% 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

"One of the best parts of the solution is the Hybrid model that allows flexibility to keep control over the clusters."
"We have not faced any downtime."
"MongoDB Atlas is a database that is quite fast, stable, and reliable."
"The most valuable feature is the schemaless architecture."
"It has a flexible integration with our easy API."
"It's a good solution for NoSQL databases."
"It is nice because our developers create tables whenever they need to sync data."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"This solution is very helpful due to its ease of use."
"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 features, including built-in backup, all under the same roof, without the need for external tools."
 

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."
"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."
"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."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"From an improvement standpoint, MongoDB can improve security."
"An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."
"The initial configuration fine-tuning for performance can be time-consuming."
"The product's data aggregation feature needs to work faster."
"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."
"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."
 

Pricing and Cost Advice

"Imply pricing is in the middle range. Understanding the data model can help reduce overall system costs."
"It is an open-source platform."
"The solution is fairly priced. I rate the pricing a seven out of ten."
"Pricing could always be better."
"The purchasing process through the AWS Marketplace was very good."
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"The tool is free since it's an open-source product."
"I am using the free version of the solution."
"The price of MongoDB Atlas is highly affordable."
report
Use our free recommendation engine to learn which Database as a Service (DBaaS) solutions are best for your needs.
845,040 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Computer Software Company
19%
Financial Services Firm
16%
Comms Service Provider
6%
Manufacturing 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 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: March 2025.
845,040 professionals have used our research since 2012.