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Neo4j Graph Database vs SingleStore comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Neo4j Graph Database
Average Rating
8.6
Reviews Sentiment
7.9
Number of Reviews
5
Ranking in other categories
NoSQL Databases (9th)
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 (12th)
 

Mindshare comparison

While both are Databases solutions, they serve different purposes. Neo4j Graph Database is designed for NoSQL Databases and holds a mindshare of 3.6%, up 3.6% 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)
 

Featured Reviews

AR
Easy to use and not so expensive
For first-time users, if you don't know much about the tool, I think you should go with a document-based DBMS tool. I had to use the tool because I learned about it in college. My advice to others is that they need to learn about the tool, nodes, and vertices and then purchase Neo4j Graph Database. It will be a little bit difficult for new users to know what is the meaning of a node, what vertices are, how to use it, or how an application can use it. The tool is easy for new users as it is an intuitive tool. I rate the tool a nine out of ten.
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

"As a graph database, I am surprised at their performance and response time."
"Enables people to understand what the business problem is and how the technology helps."
"The solution's best feature is how it differs from traditional SQL databases. It's hard to map people and find those near me in SQL, which requires long, complex queries. Neo4j Graph Database makes this easier with simpler queries. It also supports more data types, like JSON, which SQL doesn't."
"For now, the tool doesn't break down or stop, so it is quite stable."
"Creates the ability to visualize outputs."
"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 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 ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"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

"So far, we have not had any issues and are happy with the product in general."
"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."
"There are concerns about performance and whether the tool can necessarily scale to provide the solution."
"The tool could improve by having more resources, especially for Golang, which we use. It lacks good basic libraries and doesn't have an ORM (Object-Relational Mapping) tool, which many NoSQL databases have. We thought about building an ORM for the Neo4j Graph Database but are too busy."
"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."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"We don't get good discounts in Pakistan."
"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."
"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

"The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwise, you can deploy it on your own cloud and pay based on usage."
"The tool is not expensive."
"SingleStore is a bit expensive."
"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 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."
"The product's licensing is not expensive. It is comparable."
"I would advise users to try the free 128GB version."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
15%
Energy/Utilities Company
9%
University
8%
Financial Services Firm
30%
Computer Software Company
14%
Manufacturing Company
6%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Neo4j?
The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwi...
What needs improvement with Neo4j Graph Database?
The tool could improve by having more resources, especially for Golang, which we use. It lacks good basic libraries and doesn't have an ORM (Object-Relational Mapping) tool, which many NoSQL databa...
What is your primary use case for Neo4j Graph Database?
We're building a social media platform, which is a great use case for the product. It helps connect people. For example, if we're friends on Facebook, I can get suggestions for people near me or re...
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

Walmart, Telenor, Wazoku, Adidas, Cerved, GameSys, eBay, Schleich, ICIJ, die Bayerisch, Megree, InfoJobs, LinkedIn
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.
816,406 professionals have used our research since 2012.