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DbVisualizer vs MongoDB Atlas 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

DbVisualizer
Ranking in Database Management Systems (DBMS)
11th
Average Rating
9.4
Reviews Sentiment
8.6
Number of Reviews
3
Ranking in other categories
Database Development and Management (15th)
MongoDB Atlas
Ranking in Database Management Systems (DBMS)
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), AI Software Development (8th)
 

Mindshare comparison

As of January 2026, in the Database Management Systems (DBMS) category, the mindshare of DbVisualizer is 0.1%. The mindshare of MongoDB Atlas is 2.1%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database Management Systems (DBMS) Market Share Distribution
ProductMarket Share (%)
MongoDB Atlas2.1%
DbVisualizer0.1%
Other97.8%
Database Management Systems (DBMS)
 

Featured Reviews

JD
CTO/Managing Member at Pantheon Tech
Consolidates tools and streamlines cross-platform database work
There is not a lot that I have to complain about with DbVisualizer. Over the years, as I have mentioned, they have continued to enhance the interface and the databases that are supported, but I do not think there is a lot of room for improvement. Most improvements will come from changes in the marketplace, such as new database features that need to be interacted with or perhaps more support for new data types and databases that are going to be supporting AI. Some of that, as we have seen thus far, is not necessarily the game changer that we would have thought. Integrating a co-pilot for SQL queries would be an interesting feature in the future.
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.

Quotes from Members

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

Pros

"Actions like exporting grids to Excel or other tools is a very easy task."
"Timed queries that add their result to the result grid for every execution are helpful."
"DbVisualizer is invaluable to me because it allows me to work from enterprise database systems like Oracle to more emerging database providers like CockroachDB, and can scale to anything up or down from SQLite or standard PostgreSQL."
"The product allows us to easily set up and store large amounts of unstructured data."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"MongoDB is a NoSQL tool."
"The auto-scaling feature is the most valuable aspect."
"The dynamic structures are the most valuable."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"The initial setup is straightforward."
"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."
 

Cons

"Sometimes, I feel that the startup time takes a bit more time than needed."
"One thing I would like to see changed is having the JDBC drivers in a fixed location outside of the application package."
"If it could be cheaper, that would make us happy."
"The speed when combining two documents is concerning."
"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging."
"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."
"MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines."
"We need improved query performance."
"The initial configuration fine-tuning for performance can be time-consuming."
 

Pricing and Cost Advice

"The pricing for DbVisualizer is fair."
"A license with a few years of support is a good and valuable option."
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
"The pricing and licensing is great."
"We pay for a license."
"I have seen the cost, and it was pretty cheap."
"It is too expensive. They need to work on this."
"Pricing could always be better."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
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Top Industries

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

Company Size

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

Questions from the Community

What is your experience regarding pricing and costs for DbVisualizer?
My experience with pricing, setup cost, and licensing is that it is straightforward. It is a subscription model with lower costs in the out years from initial purchase.
What needs improvement with DbVisualizer?
There is not a lot that I have to complain about with DbVisualizer. Over the years, as I have mentioned, they have continued to enhance the interface and the databases that are supported, but I do ...
What is your primary use case for DbVisualizer?
My main use case for DbVisualizer is data analysis, but also increasingly performance monitoring and tuning of databases due to the broad support for multi vendors in the tool. A specific example o...
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.
 

Also Known As

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

Overview

 

Sample Customers

Tesla, Google, Facebook, Citibank, Standard Chartered Bank, Apple, BMO, Deutsche Bank, Netflix, Disney
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 DbVisualizer vs. MongoDB Atlas and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.