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Amazon DynamoDB vs Amazon Neptune 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

Amazon DynamoDB
Ranking in Managed NoSQL Databases
2nd
Average Rating
8.2
Reviews Sentiment
5.6
Number of Reviews
41
Ranking in other categories
No ranking in other categories
Amazon Neptune
Ranking in Managed NoSQL Databases
4th
Average Rating
8.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 20.4%, down from 27.5% compared to the previous year. The mindshare of Amazon Neptune is 16.9%, up from 12.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases
 

Featured Reviews

Prabin Silwal - PeerSpot reviewer
Offers exceptional performance to users
Previously, when in my company, we used to store 64 KB of data, we used to get problems and errors, and due to such reason, at such a point in time, we had to find a different storage system or modify the system so that the size of the value is not more than 64 KB. The main aforementioned issue in the tool can be considered for improvement for Amazon DynamoDB. In our company, we have some data which can be stored as we want. Previously, only 64 KB could be used, and later, I think, it was about 400 KB. If the tool could have an additional 10 MB to offer, then the tool could be easier to use. The tool is a key value storage, where the key will be long. In terms of value, we couldn't store more than 64 kb previously in the tool, but later on, it was increased to 400 KB, which is a limitation that I don't like in the tool.
Matthew Spieth - PeerSpot reviewer
Useful pattern identification, price well, and straightforward implementation
Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is. Amazon Neptune is good for identifying fraud and many banks are using it. For example, know that I go to certain places all the time that are connected with nodes and edges, such as gas stations, shops, and Amazon. Since people are creatures of habit, the banks can use those nodes and edges to make a model of where I like to shop and spend money. If they see something pop up that's out of character for me, then they know immediately that it is possible fraud. They can determine this because a purchase I made was somewhere I never go or because of geography.

Quotes from Members

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

Pros

"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"We use the single table design pattern extensively since it helps us describe very complex patterns and data types on the table."
"DynamoDB is a key-value database, and it's valuable if you have simple scan queries and don't need to do point searches."
"The technical support team is always available to help us."
"Amazon DynamoDB is powerful and fast. Its performance is good."
"Offers a vital query-handling feature"
"The most valuable feature of the solution is its performance."
"The possibility of managing documents is the most valuable aspect of the solution. I like the fact that I don't have to define the fields."
"The initial setup is actually simple."
"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."
 

Cons

"The process of making a query could be optimized."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"The setup cost could be reduced. But overall, the tool works smoothly."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"I'd like to see better integration with Cognito. It has the integration, but I'd like to see a little more ease of setup. If you have multiple customers and you want the database to enforce who can see what, you can treat DynamoDB so that each row has permissions. You can set this up, but it's a little more of a science project to make Cognito and DynamoDB work well to do protection of individual rows. So I'd like that to be more wizard or easy to set up."
"Querying data on the solution is quite limited, but this is like any other NoSQL database. It's the most common criticism of the NoSQL database in general."
"Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."
"In my scenario, the integration wasn't easy because ................in Java."
 

Pricing and Cost Advice

"The product is expensive"
"It's an expensive solution"
"You can get committed capacity or transaction-based pricing. If you're doing it on demand, they charge based on whether you're reading or writing. They charge $1.25 for every million rights to the database and 25 cents for every million reads from the database. The first 25 gigabytes of storage are free, and they charge 25 cents a gigabyte a month. So, it's a very different world. It's a quarter a gigabyte a month. You can store a lot of data. They have a separate fee for automated backup, and if you want it globally distributed, where it's distributed around the world, there's a slightly different price."
"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."
"I can say that it is not the cheapest one because if we had our own kind of storage solution, our own hosting, and instead of using the cloud, we opted for some other method, it would have been a tool of a lower cost."
"For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."
"The pricing is based on Lambda function usage. So, if a Lambda function is invoked with every call, and we receive 5,000 calls daily, that means 5,000 Lambda invocations."
"I would rate the pricing for this solution a four out of five."
"Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
19%
Manufacturing Company
7%
Comms Service Provider
4%
Financial Services Firm
17%
Computer Software Company
16%
Manufacturing Company
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Amazon DynamoDB?
There is nothing that I can think of for improvements.
What is your primary use case for Amazon DynamoDB?
My company has a fleet management system, and we primarily use DynamoDB to store location data.
What is your experience regarding pricing and costs for Amazon Neptune?
When taken as part of the whole AWS contract, it was cheaper, but as a single service, Neptune was more expensive compared to Neo4j.
What needs improvement with Amazon Neptune?
Some improvements could be made by introducing a UI that would clearly show the vertices and connections, which would make it easier to visualize and debug. Additionally, the need for downtime duri...
What is your primary use case for Amazon Neptune?
So, I'm not using it currently, but when I was working with my last organization, which was a gaming company, we used Amazon Neptune for real-time fraud detection. We maintained user data, mobile d...
 

Overview

 

Sample Customers

Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense
Find out what your peers are saying about Amazon DynamoDB vs. Amazon Neptune and other solutions. Updated: January 2025.
831,158 professionals have used our research since 2012.