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Amazon DynamoDB vs Amazon Neptune comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 3, 2025

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
6.2
Number of Reviews
45
Ranking in other categories
No ranking in other categories
Amazon Neptune
Ranking in Managed NoSQL Databases
9th
Average Rating
8.6
Reviews Sentiment
4.5
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 10.5%, down from 17.3% compared to the previous year. The mindshare of Amazon Neptune is 6.9%, down from 13.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Amazon DynamoDB10.5%
Amazon Neptune6.9%
Other82.6%
Managed NoSQL Databases
 

Featured Reviews

DG
Lead SRE at JavaTech
Has improved infrastructure availability and simplified integration through reliable cloud-based data management
Amazon DynamoDB is readily available, and we do not have to worry about downtime unless there is a global outage. From a cost perspective, it presents a challenge. The primary feature is constant availability without concerns about server maintenance or ensuring database uptime, as AWS manages everything from their end. We simply set up the database and allocate it to customers according to their requirements, making it an easy and smooth transition. Regarding security, being in the cloud provides numerous security features. Amazon DynamoDB operates at the backend within our three-tier architecture. We have front hosting, business logic or application server in the middle, and databases at the backend. Additionally, we implement security layers such as SSL, creating a highly secure environment. The solution has proven to be reliable thus far.
Reviewer3028812 - PeerSpot reviewer
Back End Developer at Zeta
Multiple graph models and languages support lead to efficient use, yet community growth brings challenges
The onboarding part and documentation where we could ideally use Amazon Neptune is excellent. Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph. It also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher. It is very comprehensive in supporting every requirement we had at Zetta. Amazon Neptune's best features include its multiple servers, each supporting different languages such as OpenCypher, SparkQL, and RDF. For the same RDF graph or property graph, we could use multiple languages to query on different servers. This is exceptional because we have one graph DB with two endpoints exposed where we could interact with different languages on the same graph. Additionally, Amazon has a Sagemaker Jupyter Notebook which interacts with the Amazon Neptune database itself, providing a clean UI for representing nodes since the Jupyter Notebook has predefined graph representation capabilities through queries.

Quotes from Members

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

Pros

"Speed is the most valuable feature. The speed to store and retrieve data from it."
"The ability to store multiple data attributes is crucial. For example, in a contact flow, if a customer calls, we can integrate DynamoDB dynamically. We need only the customer's mobile number as the primary key, which is stored in the DynamoDB table."
"Capable of auto-scaling and integrates easily with other tools"
"We don't have to administer the tool."
"I appreciate the visibility of DynamoDB, as I can observe everything on the Console."
"DynamoDB is easy to configure, easy to use, and allows for writing data in JSON format."
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"The most valuable feature of the solution is its performance."
"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."
"Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."
"Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."
"The initial setup is actually simple."
 

Cons

"The process of making a query could be optimized."
"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."
"Defining simple expressions and queries can be slightly complicated due to DynamoDB's unique JSON syntax. This can be confusing, especially for beginners."
"I would rate the stability a seven out of ten. We faced some configuration issues."
"Amazon DynamoDB can be quite expensive due to regional differences, so I have to be careful with the pricing."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
"I initially faced issues with the solution's stability, performance, and security."
"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."
"In my scenario, the integration wasn't easy because ................in Java."
"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."
"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."
 

Pricing and Cost Advice

"The solution is cheaper than Cosmos DB."
"Given the services and benefits provided by AWS, the solution's pricing is average."
"On a scale of one to ten, where one is a high price and ten is a low price, I rate the pricing a seven. It is not the cheapest, but it is not the costliest either."
"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."
"Amazon DynamoDB is not an expensive solution."
"The solution's pricing is good, and it's not expensive."
"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."
"It's an expensive solution"
"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
16%
Computer Software Company
13%
Manufacturing Company
10%
Marketing Services Firm
9%
Financial Services Firm
21%
University
14%
Computer Software Company
11%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise2
Large Enterprise19
No data available
 

Questions from the Community

What needs improvement with Amazon DynamoDB?
The only challenge I face with Amazon DynamoDB is that with the partition key and secondary key, the query doesn't become very easy. The construction of that schema is a bit tricky because once you...
What is your primary use case for Amazon DynamoDB?
Our main use case for Amazon DynamoDB is storing quick metadata information about any of the image artifacts that we collect from our customers. We generally store this in Amazon DynamoDB in multip...
What is your experience regarding pricing and costs for Amazon Neptune?
The cost aspects were managed by our SRE team who provisioned the instances. The pricing structure is similar to how EC2 instance pricing varies. I was informed that it was somewhat expensive, thou...
What needs improvement with Amazon Neptune?
The main issue was the limited community of Amazon Neptune users, which meant everything needed to be explored independently. Although this was adventurous, it required more time investment in the ...
What is your primary use case for Amazon Neptune?
We managed traffic at Zetta, and traffic would be moving between multiple services in our microservice architecture. Because of this setup, we were using Amazon Neptune to understand how many reque...
 

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: March 2026.
884,797 professionals have used our research since 2012.