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MongoDB Enterprise Advanced vs SingleStore comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 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 (4th), NoSQL Databases (1st), Managed NoSQL Databases (5th)
SingleStore
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Database as a Service (DBaaS) (12th), Vector Databases (15th)
 

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 16.9%, down 23.3% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 2.7% mindshare, up 1.1% since last year.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced16.9%
ScyllaDB8.9%
Redis8.9%
Other65.30000000000001%
NoSQL Databases
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
SingleStore2.7%
Amazon RDS19.1%
MongoDB Atlas14.0%
Other64.2%
Database as a Service (DBaaS)
 

Q&A Highlights

it_user1272297 - PeerSpot reviewer
Apr 19, 2020
 

Featured Reviews

Uzair Faruqi - PeerSpot reviewer
Transforms data flow with adaptable schema and smooth public cloud deployment
One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…
Yasin Sarı - PeerSpot reviewer
High-speed data processing, seamless scalability, and excellent high availability making it an optimal choice for those prioritizing performance and efficiency in a database solution
There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks. Attempting to use it for direct extraction, for instance, might lead to memory-related challenges. While MySQL version five might lack extensive SQL capabilities, SingleStore also has its constraints, requiring simpler SQL writing. This becomes evident when seeking advanced functionalities like window functions or JSON functions, where SingleStore doesn't offer an extensive toolkit, necessitating a more straightforward approach to SQL.

Quotes from Members

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

Pros

"The solution is user-friendly with a good object retrieval feature."
"I value the API integrations."
"In our case, it is most important to have redundancy."
"The integration capabilities of MongoDB are fine for the solutions that we use in our company."
"We are using real-time analytics and monitoring in MongoDB Enterprise Advanced; it is integrated—the existing advanced feature is integrated with our business analytics interface, and all the various business intelligence reports are generated from that."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"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 reports are useful for controlling the load of our whole architecture."
"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 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."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
 

Cons

"The solution should more easily integrate with custom code."
"I don't see a lot of areas that need improvement."
"MongoDB could be more secure."
"The performance can be improved."
"There can be stability issues."
"There should be better integration with other databases."
"The stability could be improved."
"There is room for improvement in integrating MongoDB with agentive AI solutions."
"We don't get good discounts in Pakistan."
"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."
"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

"At the moment, all customers are using the community version."
"It's open-source."
"I only used the open-source version."
"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"MongoDB is not expensive."
"The solution is open source, so it is free."
"MongoDB's pricing is reasonable."
"There is an annual subscription for the use of this solution."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"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."
"SingleStore is a bit expensive."
"I would advise users to try the free 128GB version."
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Answers from the Community

it_user1272297 - PeerSpot reviewer
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
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
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
16%
Computer Software Company
11%
Manufacturing Company
8%
University
8%
Financial Services Firm
32%
Computer Software Company
12%
Comms Service Provider
6%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise37
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 ...
What do you like most about SingleStore DB?
The paramount advantage is the exceptional speed.
What is your experience regarding pricing and costs for SingleStore DB?
Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure. While building an on-premise cluster incurs an initial cost for servers with ample RAM...
What needs improvement with SingleStore DB?
There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation...
 

Overview

 

Sample Customers

Facebook, MetLife, City of Chicago, Expedia, eBay, Google
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, Microsoft, ScyllaDB and others in NoSQL Databases. Updated: September 2025.
871,469 professionals have used our research since 2012.