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Neo4j Graph Database vs SingleStore comparison

 

Comparison Buyer's Guide

Executive Summary

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

Neo4j Graph Database
Average Rating
8.6
Reviews Sentiment
7.7
Number of Reviews
6
Ranking in other categories
NoSQL Databases (8th)
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 Databases solutions, they serve different purposes. Neo4j Graph Database is designed for NoSQL Databases and holds a mindshare of 6.1%, up 4.1% 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 (%)
Neo4j Graph Database6.1%
MongoDB Enterprise Advanced13.9%
Redis9.1%
Other70.9%
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)
 

Featured Reviews

RT
VP odfTechnology at Enterpi Software Solutions Private Limited
Delivers superior search and data aggregation capabilities
Neo4j helps with advanced search needs, providing good search results and aggregates compared to MongoDB. Aggregating with MongoDB can be difficult; however, with Neo4j, it's easier. Aggregating data, backing up, and creating new clusters are user-friendly from the back end. In DevOps web deployment, we noticed no database issues. We created Docker instances and set them up efficiently, managing databases up to 50 gigabytes.
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

"Enables people to understand what the business problem is and how the technology helps."
"As a graph database, I am surprised at their performance and response time."
"For now, the tool doesn't break down or stop, so it is quite stable."
"It is good for search-based tasks, providing solid search results and aggregate results."
"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."
"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."
"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

"There are concerns about performance and whether the tool can necessarily scale to provide the solution."
"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."
"So far, we have not had any issues and are happy with the product in general."
"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."
"The only problem is that the community is quite small."
"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."
"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."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
 

Pricing and Cost Advice

"The tool is not expensive."
"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."
"I would advise users to try the free 128GB version."
"SingleStore is a bit expensive."
"The product's licensing is not expensive. It is comparable."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Energy/Utilities Company
9%
Comms Service Provider
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
No data available
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

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 only problem is that the community is quite small.
What is your primary use case for Neo4j Graph Database?
We have used Neo4j in microservices. In one of the microservices, we used Neo4j since we have some requirements similar to MongoDB plus Elasticsearch. It performs both functions. Instead of doing t...
Ask a question
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Overview

 

Sample Customers

Walmart, Telenor, Wazoku, Adidas, Cerved, GameSys, eBay, Schleich, ICIJ, die Bayerisch, Megree, InfoJobs, LinkedIn
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.
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