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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 aggregation framework is really good, allowing a developer to build very complex queries."
"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."
"The most valuable feature is the speed of MongoDB."
"It is easy to use."
"It facilitates the generation of heatmaps for graphical data analysis."
"The solution does not hold data in tabular format like SQL does but rather clusters data so that it can link on a large scale."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
"The integration capabilities of MongoDB are fine for the solutions that we use in our company."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"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 paramount advantage is the exceptional speed."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
 

Cons

"We find it difficult to incorporate MongoDB in some projects."
"They could improve the UI and the analytics part."
"It would help if MongoDB offered a light solution for small projects."
"The MongoDB documentation can be a little complicated sometimes."
"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."
"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 can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."
"When third-party data warehouses are integrated, we are seeing some ETL job performance issues."
"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."
"We don't get good discounts in Pakistan."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"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."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
 

Pricing and Cost Advice

"MongoDB's pricing is reasonable."
"Our customers pay for yearly licenses for MongoDB."
"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."
"We use the open-source version, which is available to use free of charge."
"It is rather expensive."
"There are different licenses available to be purchased, such as individual, premium, or enterprise."
"The solution is open source so is free."
"I currently use the solution's community edition which is free."
"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."
"SingleStore is a bit expensive."
"I would advise users to try the free 128GB version."
"The product's licensing is not expensive. It is comparable."
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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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