Try our new research platform with insights from 80,000+ expert users

Amazon DynamoDB vs Amazon Neptune comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon DynamoDB
Ranking in Managed NoSQL Databases
2nd
Average Rating
8.2
Reviews Sentiment
5.6
Number of Reviews
40
Ranking in other categories
No ranking in other categories
Amazon Neptune
Ranking in Managed NoSQL Databases
6th
Average Rating
8.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 21.4%, down from 28.3% compared to the previous year. The mindshare of Amazon Neptune is 15.9%, up from 12.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases
 

Featured Reviews

Rajni Kumar Jha - PeerSpot reviewer
Apr 3, 2024
Manages our contact center dynamically and allows us to store multiple data attributes in tables
There are a few areas of improvement. In future releases, I would like a feature that lets us store information about public holidays or weekends. When customers call during those closed periods, we could use DynamoDB to trigger an automatic message. It could say something like, "We're currently closed due to a holiday. Please call back during our regular working hours." So this would eliminate the need for agents to manually inform customers. With a holiday calendar stored in a DynamoDB table, we could write a Lambda function to check the date. If it's a UK holiday, for example, the system could automatically play the message.
Matthew Spieth - PeerSpot reviewer
Mar 30, 2022
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

"The solution is very simple to use."
"It has helped us build our product from zero point to the end."
"The transactions are very fast, and the cost is low with Amazon DynamoDB."
"One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data."
"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 most valuable feature of the solution is its performance."
"Never used the support. I got all the information from the documentation."
"The latency feature is precious."
"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."
"The initial setup is actually simple."
 

Cons

"The solution would work fast if a contact center is in the same region."
"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."
"The documentation is not good enough."
"The solution could be cheaper."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"If the database is kept running continuously, extra costs will be incurred. This particular area needs enhancement."
"It would be nice to have some AI features in DynamoDB."
"Defining simple expressions and queries can be slightly complicated due to DynamoDB's unique JSON syntax. This can be confusing, especially for beginners."
"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."
 

Pricing and Cost Advice

"Amazon DynamoDB is cheap."
"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."
"Amazon DynamoDB is not an expensive solution."
"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."
"Compared to a high-end relational database, it's cheap."
"The solution is cheaper than Cosmos DB."
"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."
"Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."
report
Use our free recommendation engine to learn which Managed NoSQL Databases solutions are best for your needs.
814,649 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
19%
Manufacturing Company
6%
University
6%
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Amazon DynamoDB?
The process of making a query could be optimized. Sometimes, it can be difficult if you don't design it properly at the beginning of the project. It's more expensive to look for a field in your dat...
What is your primary use case for Amazon DynamoDB?
We are a data classification company. We classify non-structured data, like documents in the organization. When we classify a document, we store the document's name and severity in Amazon DynamoDB....
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: October 2024.
814,649 professionals have used our research since 2012.