MongoDB vs SingleStore comparison

The compared MongoDB and SingleStore solutions aren't in the same category. MongoDB is ranked #1 in ND , with an average rating of 8.1, and holds a 23.6% mindshare in the category. SingleStore is ranked #7 in DS , with an average rating of 8.7, and holds a 1.2% mindshare. Additionally, 92% of MongoDB users are willing to recommend the solution, compared to 100% of SingleStore users who would recommend it.

MongoDB

Read 76 MongoDB reviews

6,208 Views
4,436 Comparison Views

92% willing to recommend

SingleStore

Read 7 SingleStore reviews

258 Views
196 Comparison Views

100% willing to recommend

MongoDB

SingleStore

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 8, 2024

MongoDB and SingleStore are two popular database solutions in the field of database management systems. Based on user reviews, SingleStore often has the upper hand in real-time analytics capabilities, while MongoDB is preferred for its schema flexibility.

Features: MongoDB is recognized for its flexible schema, document model, and powerful query language. SingleStore is noted for its hybrid cloud capabilities, real-time analytics performance, and ability to handle large volumes of data effectively.

Room for Improvement: MongoDB users desire better integrated analytics tools, enhanced security features, and expanded analytics capabilities. SingleStore users suggest improvements in ease of use for complex queries, better training resources, and increased user-friendliness.

Ease of Deployment and Customer Service: MongoDB is praised for its simple deployment process and effective community support. SingleStore excels in providing comprehensive customer service, though its deployment requires more expertise compared to MongoDB's straightforward approach.

Pricing and ROI: MongoDB offers a cost-efficient setup and attracts budget-conscious projects, but its ROI varies by application. SingleStore, while more expensive, provides significant ROI for data-intensive applications, making it a worthwhile investment for analytics-focused projects.

To learn more, read our detailed NoSQL Databases Report (Updated: November 2024).

Buyer's Guide

NoSQL Databases

November 2024

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Categories and Ranking

MongoDB

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Open Source Databases (5th), NoSQL Databases (1st), Managed NoSQL Databases (7th)

SingleStore

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (7th), Vector Databases (12th)

Mindshare comparison

While both are Database Services solutions, they serve different purposes. MongoDB is designed for NoSQL Databases and holds a mindshare of 23.6%, down 27.7% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 1.2% mindshare, up 0.8% since last year.

NoSQL Databases

Database as a Service (DBaaS)

Q&A Highlights

it_user1272297

Special Adviser Strategy at a university with 501-1,000 employees

Apr 19, 2020

Which is the best RDMBS solution for big data?

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

See all answers

Featured Reviews

Hamidul Islam

Senior Consultant at Infosys

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…

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Hitesh Kunchakuri

Associate Consultant at University of California at Davis

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.

Read full review

Quotes from Members

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

Pros

"It is very fast - faster than an SQL or MySQL Server."

"Sharding is an excellent feature of MongoDB."

"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."

"The Dynamic Application is a valuable feature."

"The most valuable feature is the speed of MongoDB."

"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

"My impression is that the initial setup is straightforward."

"MongoDB is a NoSQL tool that gives us much freedom to manipulate how the data works."

More MongoDB pros

"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."

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."

"The product's initial setup phase was pretty straightforward, with no complex processes."

"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 paramount advantage is the exceptional speed."

"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

Cons

"The solution could have more integration."

"MongoDB should support TypeScript."

"It would help if MongoDB offered a light solution for small projects."

"Some of the solution's transaction capabilities can be improved."

"The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing."

"There is a need for improvement in MongoDB's customer support."

"I don't see a lot of areas that need improvement."

"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."

More MongoDB cons

"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."

"We don't get good discounts in Pakistan."

"Having the ability to migrate servers using a single command would be extremely beneficial."

"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."

"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."

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

Pricing and Cost Advice

"This is an open-source solution."

"You only have to pay for the paid version, not the open-source version."

"MongoDB's pricing is reasonable."

"I believe that the licensing fees are paid on a yearly basis."

"The product is affordable."

"It is rather expensive."

"The solution is open source so is free."

"I only used the open-source version."

More MongoDB pricing and cost advice

"I would advise users to try the free 128GB version."

"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."

"SingleStore is a bit expensive."

"The product's licensing is not expensive. It is comparable."

"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."

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Answers from the Community

it_user1272297

Special Adviser Strategy at a university with 501-1,000 employees

Apr 19, 2020

Which is the best RDMBS solution for big data?

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

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.

Read full answer

reviewer1219965

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

Read full answer

See all 4 answers

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

14%

Manufacturing Company

University

Financial Services Firm

30%

Computer Software Company

14%

Manufacturing Company

Healthcare Company

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.

See all answers

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.

See all answers

What needs improvement with MongoDB?

The free tools, like MongoDB Compass, could be enhanced. This is especially relevant for the IDEs or similar tools.

See all answers

What do you like most about SingleStore DB?

The paramount advantage is the exceptional speed.

See all answers

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...

See all answers

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...

See all answers

Comparisons

InfluxDB vs MongoDB

Compared 27% of the time

Couchbase vs MongoDB

Compared 15% of the time

Cassandra vs MongoDB

Compared 8% of the time

ScyllaDB vs MongoDB

Compared 6% of the time

Red Hat Data Grid vs MongoDB

Compared 2% of the time

More MongoDB Competitors

ClickHouse vs SingleStore

Compared 9% of the time

SQL Server vs SingleStore

Compared 8% of the time

Teradata vs SingleStore

Compared 8% of the time

CockroachDB vs SingleStore

Compared 7% of the time

Pinecone vs SingleStore

Compared 4% of the time

More SingleStore Competitors

Product Reports

Buyer's Guide

MongoDB

November 2024

Download MongoDB product report

Buyer's Guide

SingleStore

October 2024

Download SingleStore product report

Learn More

MongoDB

Video not available

SingleStore

Overview

Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit www.mongodb.com.

MongoDB Features

MongoDB has many valuable key features. Some of the most useful ones include:

Load balancing: MongoDB supports large-scale load balancing via horizontal scaling features like replication and sharding.

Ad-hoc queries: With this feature, developers are able to update ad-hoc queries in real time.

Sharding: With MongoDB, sharding allows for much greater horizontal scalability, with queries that are directed to the correct shard based on specific shard keys.

Indexing: MongoDB allows indexing to be created on demand, accommodating real-time, ever-changing query patterns and application requirements. They can also be declared on any field within any document, including those nested within arrays.

Replication: MongoDB’s replication feature enables you to deploy multiple servers for disaster recovery and backup, which helps increase data availability and stability.

MongoDB Benefits

There are many benefits to implementing MongoDB. Some of the biggest advantages the solution offers include:

Horizontal architecture: Because MongoDB is designed with horizontal architecture, it is easy to scale.

Developer-friendly: Being that MongoDB is a document data model with NoSQL, developers are able to work faster. In addition, MongoDB gives developers a number of useful out-of-the-box capabilities, whether you need to run privately on site or in the public cloud.

Cloud-based: Because MongoDB is a full cloud-based application data platform, you gain access to a collection of services that can integrate nicely with your database.

Powerful analytics: MongoDB is designed to make data easy to access, and also allows you to perform complex analytics and querying.

High performance: With MongoDB, information can be embedded inside a single document rather than relying on expensive join operations from traditional relational databases.

Easy to install: MongoDB has an intuitive UI, making it easy to install. You can install the community or enterprise version directly on a server, create your own container, or use a pre-built community one.

Cost-effective: MongoDB gives you the option to choose an instance size that fits your current needs to help you keep your costs at a minimum.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the MongoDB solution.

PeerSpot user Deepak K., Managing Director at SimSol Technologies And Services Pvt Ltd., says, “The solution is a very dynamic product. It becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment.” He goes on to add, “The solution is easy to deploy, and the product can scale quite well. The solution's most important aspect is its seamless database. The solution offers excellent documentation.”

A Senior Associate at a financial services firm mentions, “The most valuable feature of the solution is the ability to easily store documentation regarding structures. We can easily connect to MongoDB and search without transformation, without joining. If we want to use a simple search it's really fast. The initial setup isn't really that complex. The solution is pretty stable overall.”

SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads — all in one unified platform.

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: November 2024.

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