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Amazon DynamoDB vs Amazon Timestream 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
6.4
Number of Reviews
42
Ranking in other categories
No ranking in other categories
Amazon Timestream
Ranking in Managed NoSQL Databases
3rd
Average Rating
9.0
Reviews Sentiment
6.9
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 17.8%, down from 26.5% compared to the previous year. The mindshare of Amazon Timestream is 9.9%, up from 9.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases
 

Featured Reviews

Prabin Silwal - PeerSpot reviewer
Offers exceptional performance to users
Previously, when in my company, we used to store 64 KB of data, we used to get problems and errors, and due to such reason, at such a point in time, we had to find a different storage system or modify the system so that the size of the value is not more than 64 KB. The main aforementioned issue in the tool can be considered for improvement for Amazon DynamoDB. In our company, we have some data which can be stored as we want. Previously, only 64 KB could be used, and later, I think, it was about 400 KB. If the tool could have an additional 10 MB to offer, then the tool could be easier to use. The tool is a key value storage, where the key will be long. In terms of value, we couldn't store more than 64 kb previously in the tool, but later on, it was increased to 400 KB, which is a limitation that I don't like in the tool.
Sekhar Reddy B - PeerSpot reviewer
Useful for real-time analytics and monitoring application's health
We use the tool with AI for customer data analysis as part of our internal product. It's a medium effort for beginners to learn; it's not too easy but not too hard. Overall, I'd rate Amazon Timestream eight point five to nine out of ten based on my experience. Integrating it wasn't difficult, and we didn't face any challenges. My advice for new users is to choose the right dimension names for better query performance and structure their data correctly before indexing.

Quotes from Members

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

Pros

"The most valuable features of the solution are its price and stability."
"We don't have to administer the tool."
"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."
"Its scalability is really good. I can go up to a petabyte of data. It is more of an on-demand use case. I can go from 100 MB to 1 PB if I want, which is very good. Most of the other databases would want you to stick to a specific data allocation. Its subscription cost is lower than similar databases offered by other vendors."
"Scalability has significantly enhanced data retrieval speeds."
"Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance."
"Being serverless, it alleviates concerns about scalability and failover."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"What I like best is that the tool is easy to collect and store data and is fast and scalable. The fully managed database is easy to understand."
"Using Amazon Timestream has been seamless due to its integration within the AWS ecosystem and ease of use for the engineering team."
"You can quickly aggregate data from the last ten years with Amazon Timestream."
"The best things about Amazon Timestream are it's maintenance-free, customizable, and has no lag issues. It's always real-time."
"If you drop a message, the solution's technical support will definitely reply."
 

Cons

"As more data comes in, it becomes more expensive."
"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."
"Currently, there is no option for a scheduled refresh in this solution. We want the data to be populated into DynamoDB on a timely basis. Currently, you have to go to the DynamoDB table and hit the refresh button to populate it with the new data. If you have connected DynamoDB to a BI application for creating visualizations with charts, graphs, or other things, you would want it to get updated as per the schedule so that you have updated visualizations in your BI application."
"Data integrity across availability zones would be a valuable addition. Currently, DynamoDB provides eventual consistency across availability zones, but strong consistency would be beneficial for certain use cases."
"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."
"Previously, only 64 KB could be used, and later, I think, it was about 400 KB. If the tool could have an additional 10 MB to offer, then the tool could be easier to use."
"The user interface could be improved to make it more intuitive."
"The solution would work fast if a contact center is in the same region."
"There are disadvantages when it comes to time series databases since you can't delete anything from Amazon Timestream data."
"The solution could be improved by making it easier for new graduates like me to use. Better explanations of queries and how to use them with other AWS services would help."
"The tool could be improved by increasing the batch size from one hundred records to five hundred or a thousand to speed up indexing."
"There are certain features that we would like to see added and we are collaborating with the product teams on these areas."
"Arranging the database schema is a bit challenging."
 

Pricing and Cost Advice

"Amazon DynamoDB is not an expensive solution."
"The solution's pricing is good, and it's not expensive."
"I would rate the pricing for this solution a four out of five."
"It is a little 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."
"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."
"Its subscription cost is lower than similar databases offered by other vendors."
"Given the services and benefits provided by AWS, the solution's pricing is average."
"We pay over $10 million a year to Amazon."
"For 1GB of data, the solution charges $ 0.01 in the US region."
"Amazon Timestream's pricing seems manageable to me."
"We don't see high costs with Amazon Timestream, which may vary by company."
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Top Industries

By visitors reading reviews
Computer Software Company
22%
Financial Services Firm
20%
Manufacturing Company
7%
Comms Service Provider
5%
Computer Software Company
22%
Financial Services Firm
12%
Manufacturing Company
10%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Amazon DynamoDB?
There is nothing that I can think of for improvements.
What is your primary use case for Amazon DynamoDB?
My company has a fleet management system, and we primarily use DynamoDB to store location data.
What needs improvement with Amazon Timestream?
We are working on a few open change requests with the engineering teams on AWS's side. There are certain features that we would like to see added and we are collaborating with the product teams on ...
What is your primary use case for Amazon Timestream?
We use Amazon Timestream as a data historian for IT data. It stores all individual measurements of our customers' IoT devices for a certain period of time, allowing them to perform time-series-base...
 

Overview

 

Sample Customers

Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Find out what your peers are saying about Amazon DynamoDB vs. Amazon Timestream and other solutions. Updated: March 2025.
842,592 professionals have used our research since 2012.