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Amazon DocumentDB vs Amazon Neptune comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon DocumentDB
Ranking in Managed NoSQL Databases
5th
Average Rating
8.4
Number of Reviews
3
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 DocumentDB is 11.5%, down from 14.1% 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

Javed Zahoor - PeerSpot reviewer
Offers the ability to replicate data across different instances
Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups. When we work with established systems where the structure is well-defined, the speed of DocumentDB becomes the most important factor. Compared to a relational database, scaling DocumentDB is easier because of its ability to replicate data across different instances. If you use a network-based storage service with your cluster, the primary instance doesn't even need a full local copy of the data, since it's accessible on the shared storage. That definitely contributes to scalability. AWS-managed services already handle a lot of the scaling complexity. We don't have to do anything.
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

"Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."
"Amazon DocumentDB is a simple solution."
"Migrations are easy using this product."
"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 technical support could be improved."
"One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit."
"There's a bit of a learning curve at the beginning."
"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

Information not available
"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
Computer Software Company
22%
Financial Services Firm
18%
Manufacturing Company
10%
Insurance Company
5%
Computer Software Company
15%
Financial Services Firm
15%
Manufacturing Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What advice do you have for others considering Amazon DocumentDB?
Amazon DocumentDB offers us many useful features. It is definitely a solution that an organization in need of comprehensive and effective document management should invest its money into. We are im...
What do you like most about Amazon DocumentDB?
Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other ...
What is your experience regarding pricing and costs for Amazon DocumentDB?
The specific DocumentDB implementation we use is on the expensive side. We tend to use it strategically in complex systems, primarily for lookup capabilities. For simpler use cases, we often choose...
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

Finra, The Washington Post, Freshop
Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense
Find out what your peers are saying about Amazon DocumentDB vs. Amazon Neptune and other solutions. Updated: October 2024.
816,636 professionals have used our research since 2012.