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MongoDB Enterprise Advanced vs SingleStore comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 2, 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

MongoDB Enterprise Advanced
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
82
Ranking in other categories
Open Source Databases (6th), NoSQL Databases (1st), Managed NoSQL Databases (4th)
SingleStore
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Database as a Service (DBaaS) (17th), Vector Databases (17th)
 

Mindshare comparison

While both are Database Services solutions, they serve different purposes. MongoDB Enterprise Advanced is designed for NoSQL Databases and holds a mindshare of 13.9%, down 20.6% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 2.9% mindshare, up 1.6% since last year.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced13.9%
Redis9.1%
Couchbase Enterprise8.0%
Other69.0%
NoSQL Databases
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
SingleStore2.9%
Amazon RDS13.5%
MongoDB Atlas12.3%
Other71.3%
Database as a Service (DBaaS)
 

Q&A Highlights

it_user1272297 - PeerSpot reviewer
Special Adviser Strategy at a university with 501-1,000 employees
Apr 19, 2020
 

Featured Reviews

FG
Architecte Cloud at Visiativ SA
Offers reliable engine for legacy needs but requires enhanced cost management and AI features
While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.
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 most valuable feature of MongoDB is the NoSQL database. In a SQL database, we need to join data together with a unique ID amongst other things, but in MongoDB, it's not required. We can directly receive all the information. The performance is very good. Additionally, they have frequent updates."
"Easier to maintain the data with its document-based storage."
"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."
"It's easy to use."
"MongoDB is flexible and it allows other applications to be added."
"Its flexibility, and cost. It is reasonably priced."
"MongoDB's best features are scalability, document management, and data security."
"It is a stable solution. Stability-wise, I rate the solution a nine out of ten...Overall, MongoDB has helped manage and analyze attachment data."
"The paramount advantage is the exceptional speed."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"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."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"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."
 

Cons

"The performance can be improved."
"MongoDB should support TypeScript."
"Lacks sufficient scalability and elasticity."
"I suppose it could be a little more secure."
"The free tools, like MongoDB Compass, could be enhanced."
"It could be much more flexible like SequoiaDB. I would like to see more flexibility in the next release, especially when working with Microsoft Windows. A lot of people struggle with MongoDB because of their Windows versions. But Linux is faultless and mostly runs nicely."
"MongoDB is a very useful and convenient choice, but sometimes for more complex projects, there are certain niche requirements that appear, so using a different tool could be beneficial. It raises the complexity of the architecture, but it could be beneficial to the world, the features, the ease of the features which are being implemented."
"MongoDB should be more stable, and support should be more efficient."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"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."
 

Pricing and Cost Advice

"The pricing is normal. Price-wise, the product is not too much expensive."
"MongoDB is an open-source solution."
"I believe that the licensing fees are paid on a yearly basis."
"We are using the Community Edition of MongoDB."
"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."
"It is rather expensive."
"MongoDB's pricing is reasonable."
"At the moment, all customers are using the community version."
"I would advise users to try the free 128GB version."
"SingleStore is a bit expensive."
"The product's licensing is not expensive. It is comparable."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
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Answers from the Community

it_user1272297 - PeerSpot reviewer
Special Adviser Strategy at a university with 501-1,000 employees
Apr 19, 2020
Apr 19, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
2 out of 4 answers
Russell Rothstein - PeerSpot reviewer
CEO at PeerSpot
Jan 27, 2020
Morten, the most popular comparisons of SQream can be found here: https://www.itcentralstation.com/products/sqream-db-alternatives-and-competitors The top ones include Cassandra, MemSQL, MongoDB, and Vertica.
reviewer1219965 - PeerSpot reviewer
Data Architect at a tech services company with 201-500 employees
Jan 27, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
8%
University
6%
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 Business35
Midsize Enterprise13
Large Enterprise38
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

Questions from the Community

What do you like most about MongoDB?
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
What is your experience regarding pricing and costs for MongoDB?
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...
What needs improvement with MongoDB?
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...
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Sample Customers

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Find out what your peers are saying about MongoDB, Microsoft, ScyllaDB and others in NoSQL Databases. Updated: February 2026.
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