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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
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
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

"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."
"Migrations are easy using this product."
"Amazon DocumentDB is a simple solution."
"The platform is easy to develop and configure."
"Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance."
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"The best feature of the solution is that it is a NoSQL database."
"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."
"The most valuable feature of the solution is its performance."
"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."
 

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."
"The technical support could be improved."
"There's a bit of a learning curve at the beginning."
"I would rate the stability a seven out of ten. We faced some configuration issues."
"The design patterns and the documentation for this solution could be improved. In a future release, we would like to see an improvement of the data push options as we sometimes experience blockers when moving data."
"It would be nice to have some AI features in DynamoDB."
"The solution could be cheaper."
"The response time for data queries should be less than a second"
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"The solution's efficiency and performance should be faster than other databases."
"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."
 

Pricing and Cost Advice

Information not available
"It is a little expensive."
"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."
"I would rate the pricing for this solution a four out of five."
"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."
"Amazon DynamoDB is a cheap solution."
"The product is expensive"
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Top Industries

By visitors reading reviews
Computer Software Company
22%
Financial Services Firm
17%
Manufacturing Company
9%
Insurance Company
5%
Financial Services Firm
19%
Computer Software Company
19%
Manufacturing Company
7%
Healthcare Company
5%
 

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?
Defining simple expressions and queries can be slightly complicated due to DynamoDB's unique JSON syntax. This can be confusing, especially for beginners.
What is your primary use case for Amazon DynamoDB?
We use Amazon DynamoDB to track account IDs, address ranges, and descriptions. It is primarily used to automate the process of maintaining our about 1,120 AWS accounts. We also use DynamoDB in prod...
 

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.
816,406 professionals have used our research since 2012.