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MongoDB vs SingleStore comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 8, 2024
 

Categories and Ranking

MongoDB
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
78
Ranking in other categories
Open Source Databases (5th), NoSQL Databases (1st), Managed NoSQL Databases (8th)
SingleStore
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
Database as a Service (DBaaS) (7th), Vector Databases (13th)
 

Mindshare comparison

While both are Database Services solutions, they serve different purposes. MongoDB is designed for NoSQL Databases and holds a mindshare of 23.3%, down 27.2% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 1.3% mindshare, up 0.8% since last year.
NoSQL Databases
Database as a Service (DBaaS)
 

Q&A Highlights

it_user1272297 - PeerSpot reviewer
Apr 19, 2020
 

Featured Reviews

Hamidul Islam - PeerSpot reviewer
Lightweight with good flexibility and very fast performance for searching data
I used the solution in the production level to search data and create education-based tutorials for a project. We had 30 managers, senior architects, tech leads, and software engineers working on the project.  Currently, I use the solution for my personal work.  The solution has good flexibility…
Hitesh Kunchakuri - PeerSpot reviewer
A reasonably priced product that offers good speed and seamless support
Currently, I can't think of any areas that require improvement because SingleStore was recently launched in the market. The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings. The current SingleStore model provides output based on the RANK function. If a user searches for a liquor bottle, then with all the data the product has, it will search for the liquor bottle in the data, and based on a match, the product has an algorithm to rank the product because of which the paragraph that has the best match will be ranked as a 100, the next one as 99, following which the next product will be ranked as 98 and so on. The output from the solution will fetch you all the 100 products that are available in a store, but sometimes a user might require a product with a 97 or 98 percent match from the DB, meaning the product doesn't always work to provide a 100 percent match, an area I feel that can be optimized in the product. Currently, SingleStore's features are excellent as it can read documents, images, and everything. The product works seamlessly for me.

Quotes from Members

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

Pros

"I like the document storage feature. It's pretty simple."
"We decided to work with MongoDB as its interface is easier to understand and more universal."
"The most valuable feature is the geometric information done with GeoJSON."
"In our case, it is most important to have redundancy."
"Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability."
"MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL."
"One of the biggest benefits is the speed and flexibility of the documents, especially when it comes to modifications."
"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"The paramount advantage is the exceptional speed."
"The product's initial setup phase was pretty straightforward, with no complex processes."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"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."
 

Cons

"Lacks sufficient scalability and elasticity."
"They could provide more documentation and examples for adding pipeline stages."
"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint."
"There is a need for improvement in MongoDB's customer support."
"The scalability of the solution has room for improvement."
"The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture."
"They could improve the UI and the analytics part."
"MongoDB should not be used for reporting, analytics, or number-crunching tasks."
"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."
"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"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."
"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."
 

Pricing and Cost Advice

"Our customers pay for yearly licenses for MongoDB."
"We use the open-source version, which is available to use free of charge."
"We are using the Community Edition of MongoDB."
"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"I currently use the solution's community edition which is free."
"The solution is open source, so it is free."
"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."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
"SingleStore is a bit expensive."
"The price of the product is okay compared to the other available solutions in the market. SingleStore is a reasonably priced product, considering the functions it offers."
"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."
"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
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
18%
Computer Software Company
14%
Manufacturing Company
7%
University
6%
Financial Services Firm
30%
Computer Software Company
14%
Manufacturing Company
6%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
MongoDB is free of charge. that said, there is also a paid version. We use both free and paid versions.
What needs improvement with MongoDB?
If something is wrong on the cluster, then you need to contact the support team. The stability could be better.
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...
 

Comparisons

 

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Overview

 

Sample Customers

Facebook, MetLife, City of Chicago, Expedia, eBay, Google
6Sense, ADNOC, Adobe, Akamai, CARFAX, Cigna, Cisco, Comcast, DBS Bank, Dell, Dentsu, EY, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, Kakao, Kroger, LG, LiveRamp, Lumana, NBC, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, Siemens, SiriusXM, SK Telecom, SKAI, Sony, State Street Financial, STC, SunRun, TATA, Thorn, and ZoomInfo.
Find out what your peers are saying about MongoDB, ScyllaDB, Microsoft and others in NoSQL Databases. Updated: December 2024.
824,067 professionals have used our research since 2012.