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Altinity.Cloud vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 5, 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

Altinity.Cloud
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
AWS Marketplace (340th)
MongoDB Atlas
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
52
Ranking in other categories
Database as a Service (DBaaS) (3rd), Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (3rd), AI Software Development (6th)
 

Mindshare comparison

Altinity.Cloud and MongoDB Atlas aren’t in the same category and serve different purposes. Altinity.Cloud is designed for AWS Marketplace and holds a mindshare of 0.2%, up 0.1% compared to last year.
MongoDB Atlas, on the other hand, focuses on Database as a Service (DBaaS), holds 11.4% mindshare, down 14.1% since last year.
AWS Marketplace Mindshare Distribution
ProductMindshare (%)
Altinity.Cloud0.2%
Finimize All-In Access0.4%
SurePath AI0.4%
Other99.0%
AWS Marketplace
Database as a Service (DBaaS) Mindshare Distribution
ProductMindshare (%)
MongoDB Atlas11.4%
Amazon RDS11.9%
Microsoft Azure SQL Database9.9%
Other66.8%
Database as a Service (DBaaS)
 

Featured Reviews

Nikhil Thapa - PeerSpot reviewer
software developer
Flexible deployments have simplified real-time analytics and now streamline my database work
As for how Altinity.Cloud can be improved, I would say there are no such improvements needed. Everything is good as far as I have tested, and everything is working fine.If I had to pick one area where Altinity.Cloud could be even better, I would say scaling should be a better point. Regarding the needed improvements, especially around product scaling, my assessment is that product scaling looks fine as far as I have seen, but for a large product, it should be more scalable from my point of view. All the things such as real-time analytics and also deploying in some of the different regions should be flexible.
Varuns Ug - PeerSpot reviewer
Senior Software Developer at NIT
Flexible document workflows have accelerated schema changes and simplified evolving data models
MongoDB Atlas currently has almost all the features we require, but there are some points where I see certain improvements. One area is cost visibility and optimization. Since pricing is largely based on storage and cluster size, it can sometimes be difficult to predict or optimize cost without deeper insights. More granular cost breakdowns or recommendations would be helpful. Another area I can mention is performance tuning transparency. While MongoDB Atlas provides monitoring and suggestions, debugging deeper issues like slow queries, index efficiency, or shard imbalance can sometimes require more control or visibility. Cost optimization, deeper performance insight, and easier scaling decisions would make MongoDB Atlas even more powerful. A couple of additional areas where MongoDB Atlas could improve are integrations and developer experience. For integrations, while MongoDB Atlas supports major cloud providers and tools, deeper and more seamless integration with observability patterns would make troubleshooting distributed systems easier. On the documentation side, while it is generally good, some advanced topics like sharding strategies, performance tuning, and real-world scaling patterns could benefit from more practical guidance. Additionally, a better local-to-cloud development experience, making it easier to replicate production-like MongoDB Atlas environments locally, would help developers test performance and scaling scenarios more efficiently.

Quotes from Members

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

Pros

"The best features Altinity.Cloud offers include that it is a fully managed database as a service, it is also fully open source so it is very good to access, there are flexible deployments, there is easy integration with some third-party tools such as Kafka, and it also has very good monitoring tools."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"It supports many functionalities, is easier to implement, and the only issue is speed."
"It's a very elastic solution for the purposes of our systems and the developers appreciate it for software development."
"Scalability is its most valuable feature, as it is pretty simple."
"I would recommend MongoDB Atlas for those who want to start using it."
"The product provides quick transaction service, high availability, and efficient scalability features."
"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."
"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."
 

Cons

"I have not seen a return on investment."
"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."
"The initial setup is not too difficult but can be somewhat tricky."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"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 solution is expensive overall."
"The cost needs improvement."
"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."
"I would like a more comprehensive dashboard."
 

Pricing and Cost Advice

Information not available
"Pricing could always be better."
"It is an open-source platform."
"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."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"The purchasing process through the AWS Marketplace was very good."
"I have seen the cost, and it was pretty cheap."
"The pricing is acceptable for enterprise tier."
"I am using the free version of the solution."
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Top Industries

By visitors reading reviews
Construction Company
57%
Outsourcing Company
7%
Comms Service Provider
7%
Insurance Company
6%
Financial Services Firm
11%
Manufacturing Company
11%
Construction Company
9%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise11
Large Enterprise22
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for MongoDB Atlas?
Pricing-wise, MongoDB Atlas has a pay-as-you-go strategy. The documentation for MongoDB is very good; I have learned multiple things through reading it. The free tier is M0 for $0, which is suitabl...
What needs improvement with MongoDB Atlas?
MongoDB Atlas currently has almost all the features we require, but there are some points where I see certain improvements. One area is cost visibility and optimization. Since pricing is largely ba...
What is your primary use case for MongoDB Atlas?
In my day-to-day work, I use MongoDB Atlas primarily for storing and querying semi-structured or dynamic data where schema flexibility is important, as I work extensively on schema design, indexing...
 

Also Known As

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

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.
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