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MongoDB Atlas vs Redis comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 14, 2025

Review summaries and opinions

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

ROI

Sentiment score
8.0
MongoDB Atlas offers cost savings, reduced maintenance, and efficiency, though some find support expensive; ongoing enhancements ensure satisfactory returns.
Sentiment score
6.5
Implementing Redis improved transaction efficiency, reduced costs, enhanced performance, increased developer effectiveness, and supported scalability for organizations.
I find it easy to use.
IT Manager at a government with 11-50 employees
 

Customer Service

Sentiment score
7.0
Customers find MongoDB Atlas support varies; premium support is praised, but cost and first-level delays are concerns.
Sentiment score
1.0
Users rarely contact Redis support, but those who do find it knowledgeable, with satisfaction levels ranging from moderate to excellent.
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
Partner at Red software systems
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
DB Architect / Consultant at Virtusa Global
For premium support, I would rate the support of MongoDB Atlas a nine.
General Manager at Kaleyra
 

Scalability Issues

Sentiment score
7.6
MongoDB Atlas is praised for efficient scalability, handling large data volumes easily, though configuration and cost present challenges.
Sentiment score
7.7
Redis excels in scalability, efficiently handling large datasets with ease, making it ideal for enterprise-level operations and demands.
It's very much scalable, and I would rate scalability a nine.
General Manager at Kaleyra
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.
DB Architect / Consultant at Virtusa Global
Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.
Data Engineer at a photography company with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.9
MongoDB Atlas is praised for stability, reliability, performance, and features, making it ideal for mission-critical environments.
Sentiment score
7.7
Redis is stable, reliable under heavy loads, supports high availability, and user ratings reflect strong performance, needing load improvements.
When it comes to OLTP transactions, its performance declines.
DB Architect / Consultant at Virtusa Global
The stability of the product is very high.
General Manager at Kaleyra
Redis is fairly stable.
Data Engineer at a photography company with 1,001-5,000 employees
 

Room For Improvement

MongoDB Atlas users seek improved UI, performance, integration, cost efficiency, and support while desiring better data management features.
Enhancements in documentation, user-friendliness, scalability, security, cloud integration, and support are desired improvements for Redis.
Enhancing vector processing for AI capabilities would also be critical.
DB Architect / Consultant at Virtusa Global
MongoDB Atlas should support containerization.
General Manager at Kaleyra
I would say pricing is an area where MongoDB Atlas could improve.
IT Manager at a government with 11-50 employees
Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.
Data Engineer at a photography company with 1,001-5,000 employees
 

Setup Cost

Enterprise users find MongoDB Atlas cost-effective yet occasionally expensive, valuing scalability and payment flexibility despite potential additional fees.
Redis's open-source core is cost-effective, but enterprise features require a license; managed services start at $5/month.
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
DB Architect / Consultant at Virtusa Global
For our service, it was around 300 to 600 euros per month, which was acceptable for our customers.
Partner at Red software systems
Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.
Data Engineer at a photography company with 1,001-5,000 employees
 

Valuable Features

MongoDB Atlas offers high speed, scalability, security, and cost-effectiveness, supporting diverse requirements with its user-friendly, cloud-based design.
Redis provides fast data access with caching, geolocation, JSON, and supports scalability, high availability, and efficient event-driven applications.
The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.
General Manager at Kaleyra
MongoDB Atlas's encryption capabilities help ensure data confidentiality and integrity.
IT Manager at a government with 11-50 employees
I find MongoDB Atlas highly scalable and easy to use, with very good support.
Partner at Red software systems
It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.
Data Engineer at a photography company with 1,001-5,000 employees
 

Categories and Ranking

MongoDB Atlas
Ranking in Managed NoSQL Databases
3rd
Ranking in AI Software Development
1st
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
50
Ranking in other categories
Database as a Service (DBaaS) (3rd), Database Management Systems (DBMS) (7th)
Redis
Ranking in Managed NoSQL Databases
9th
Ranking in AI Software Development
10th
Average Rating
8.8
Reviews Sentiment
5.7
Number of Reviews
23
Ranking in other categories
NoSQL Databases (7th), In-Memory Data Store Services (1st), Vector Databases (3rd)
 

Mindshare comparison

As of December 2025, in the Managed NoSQL Databases category, the mindshare of MongoDB Atlas is 10.9%, up from 1.5% compared to the previous year. The mindshare of Redis is 3.5%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Atlas10.9%
Redis3.5%
Other85.6%
Managed NoSQL Databases
 

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.
reviewer2005650 - PeerSpot reviewer
Data Engineer at a photography company with 1,001-5,000 employees
Optimize AI projects with reliable data processing while addressing scaling challenges
There are a few areas where Redis could improve. The pub-sub capabilities could be optimized to handle network sessions better, as there are challenges with maintaining sessions between clients and systems. Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active. There's a need for better migration tools to support data movements in a hybrid environment. Concerns exist about licensing and community engagement due to changes in Redis and its forks.
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
12%
Manufacturing Company
10%
Comms Service Provider
7%
Financial Services Firm
26%
Computer Software Company
11%
Comms Service Provider
7%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise10
Large Enterprise20
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise3
Large Enterprise8
 

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 do you like most about Redis?
Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...
What needs improvement with Redis?
The disadvantage of Redis is that it's a little bit hard to have too many clusters or too many nodes and create the clusters. The sync between the nodes is easier to implement with Couchbase, for e...
What is your primary use case for Redis?
Redis is used for a part of a booking engine for travel, specifically for the front part to get some sessions and information about the sessions. If a customer or user is using the sites in differe...
 

Comparisons

 

Also Known As

Atlas, MongoDB Atlas (pay-as-you-go)
Redis Enterprise
 

Overview

 

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.
1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips
Find out what your peers are saying about MongoDB Atlas vs. Redis and other solutions. Updated: December 2025.
879,259 professionals have used our research since 2012.