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Amazon DocumentDB vs Amazon DynamoDB 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 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
 

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 DynamoDB is 21.4%, down from 28.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases
 

Featured Reviews

Javed Zahoor - PeerSpot reviewer
Apr 18, 2024
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.
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.

Quotes from Members

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

Pros

"Migrations are easy using this product."
"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."
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."
"Offers a vital query-handling feature"
"DynamoDB is easy to configure, easy to use, and allows for writing data in JSON format."
"Amazon DynamoDB is powerful and fast. Its performance is good."
"The most valuable features are the flexibility and the compatibility options without needing to use any additional services or software. It is an independent solution that doesn't need other solutions to operate."
"Capable of auto-scaling and integrates easily with other tools"
"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance."
 

Cons

"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."
"The technical support could be improved."
"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."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"There are some issues like if we missed something or somehow were not able to store the data, then it was quite difficult for us to get back that data."
"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."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"The solution would work fast if a contact center is in the same region."
"The setup cost could be reduced. But overall, the tool works smoothly."
 

Pricing and Cost Advice

Information not available
"It is costly. To reduce the costs, users need to read the node in front of it. For read-heavy groups, cache optimization can help manage costs.I can't disclose specific pricing, but it's competitive compared to others in the market, and this information is easily accessible online"
"Amazon DynamoDB is a cheap solution."
"Its subscription cost is lower than similar databases offered by other vendors."
"The solution is cheaper than Cosmos DB."
"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."
"Amazon DynamoDB is not an expensive solution."
"I would rate the pricing for this solution a four out of five."
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Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
17%
Manufacturing Company
10%
Government
5%
Financial Services Firm
19%
Computer Software Company
19%
Manufacturing Company
6%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 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....
 

Overview

 

Sample Customers

Finra, The Washington Post, Freshop
Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
Find out what your peers are saying about Amazon DocumentDB vs. Amazon DynamoDB and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.