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MongoDB Atlas vs Prem Studio comparison

 

Comparison Buyer's Guide

Executive Summary

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

MongoDB Atlas
Ranking in AI Software Development
8th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
50
Ranking in other categories
Database as a Service (DBaaS) (3rd), Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (8th)
Prem Studio
Ranking in AI Software Development
22nd
Average Rating
10.0
Reviews Sentiment
1.0
Number of Reviews
2
Ranking in other categories
AI Development Platforms (18th)
 

Featured Reviews

Laksiri Bala - PeerSpot reviewer
DB Architect / Consultant at Virtusa Global
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.
reviewer2760291 - PeerSpot reviewer
Head of AI at a consultancy with 1,001-5,000 employees
Has accelerated AI solution development through automated evaluation and fine-tuning
Prem Studio allowed me to easily automate and solve the complicated problem of exploring and identifying the best AI architecture for our problems. Prem Studio has a straightforward yet powerful approach to evaluate disparate AI architectures on our business problems and to accurately fine-tune the most promising ones. This significantly reduced time-to-market, almost by a factor of ten in my case, for solutions tailored and optimized for customer requirements and KPIs.

Quotes from Members

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

Pros

"The dynamic structures are the most valuable."
"MongoDB Atlas is a database that is quite fast, stable, and reliable."
"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."
"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."
"It can store data as a flat file, similar to a file system."
"You can start quickly on projects which allow you to store many things."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it."
"The dataset management feature and the managed finetuning are the most valuable because they save the most time."
 

Cons

"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."
"When I edit a document from a document, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connect option from Google Looker Studio."
"The replica side, like the venue, can be improved."
"The initial configuration fine-tuning for performance can be time-consuming."
"I am still new with it, but since I mentioned that I'm using this product for only the last six months and my experience with this product is good thus far, on a scale of one to ten, I would give MongoDB Atlas a six."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
"We need improved query performance."
"MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines."
"The inference should be faster."
 

Pricing and Cost Advice

"We pay for a license."
"The solution is fairly priced. I rate the pricing a seven out of ten."
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"The pricing is acceptable for enterprise tier."
"It is an open-source platform."
"I have seen the cost, and it was pretty cheap."
"In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."
"The pricing and licensing is great."
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
12%
Comms Service Provider
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise10
Large Enterprise20
No data available
 

Questions from the Community

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?
I have no idea about the pricing or setup cost with MongoDB Atlas.
What needs improvement with MongoDB Atlas?
I would say pricing is an area where MongoDB Atlas could improve.
What is your primary use case for Prem Studio?
I use Prem Studio to finetune LLM models so that they answer the way I want.
 

Also Known As

Atlas, MongoDB Atlas (pay-as-you-go)
No data available
 

Overview

Information not available
 

Sample Customers

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
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Find out what your peers are saying about MongoDB Atlas vs. Prem Studio and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.