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MongoDB Atlas vs SingleStore comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 11, 2026

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 Database as a Service (DBaaS)
3rd
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
50
Ranking in other categories
Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (8th), AI Software Development (8th)
SingleStore
Ranking in Database as a Service (DBaaS)
11th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Vector Databases (15th)
 

Mindshare comparison

As of January 2026, in the Database as a Service (DBaaS) category, the mindshare of MongoDB Atlas is 12.7%, down from 15.0% compared to the previous year. The mindshare of SingleStore is 3.0%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
MongoDB Atlas12.7%
SingleStore3.0%
Other84.3%
Database as a Service (DBaaS)
 

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.
VK
Solution Architect at Wipro Limited
An excellent choice for diverse data processing needs with exceptional in-memory capabilities, robust failover mechanisms, easy scalability and high performance
Scalability is its key strength. Adding servers for scalability is a straightforward process involving simply incorporating a few additional servers and recycling the cluster triggers automatic repartitioning and redistribution of data. For instance, if the initial database creation involved a hundred servers and later, four more servers are added, specific commands can be executed to increase the partitions to one hundred twenty. The data is then efficiently redistributed across the expanded partitions without the need for manual data movement, ensuring a seamless and efficient scalability process. In my current organization, approximately three projects involve the usage of SingleStore, with a team size ranging from ten to twenty individuals.

Quotes from Members

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

Pros

"The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint."
"The solution has a very intuitive user interface."
"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."
"The most valuable feature is the schemaless architecture."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"It is a scalable solution because we use quite a lot of data, and it handles it well."
"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."
"I am impressed with the tool's integrations."
"The paramount advantage is the exceptional speed."
"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"The product can automatically reinstall and reconfigure in case of a shutdown."
 

Cons

"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."
"The cost needs improvement."
"The initial configuration fine-tuning for performance can be time-consuming."
"The product does not have ORM."
"The web console isn't very intuitive, especially for large data."
"The price of the solution should be reduced."
"The product's file storage documentation needs improvement."
"I would like to have better performance for user experience with the solution."
"We don't get good discounts in Pakistan."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
 

Pricing and Cost Advice

"The price of MongoDB Atlas is highly affordable."
"The pricing and licensing is great."
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"The purchasing process through the AWS Marketplace was very good."
"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."
"The solution is fairly priced."
"It is too expensive. They need to work on this."
"SingleStore is a bit expensive."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"I would advise users to try the free 128GB version."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"The product's licensing is not expensive. It is comparable."
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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%
Financial Services Firm
30%
Computer Software Company
10%
Comms Service Provider
8%
Retailer
5%
 

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 Business4
Large Enterprise3
 

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.
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Also Known As

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

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.
400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.
Find out what your peers are saying about MongoDB Atlas vs. SingleStore and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.