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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 April 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 17.6%, down from 26.1% compared to the previous year. The mindshare of Amazon Timestream is 9.7%, up from 9.7% 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

"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."
"It has helped us build our product from zero point to the end."
"I appreciate the visibility of DynamoDB, as I can observe everything on the Console."
"Capable of auto-scaling and integrates easily with other tools"
"One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"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."
"Using Amazon Timestream has been seamless due to its integration within the AWS ecosystem and ease of use for the engineering team."
"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."
"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."
"You can quickly aggregate data from the last ten years with Amazon Timestream."
 

Cons

"Amazon DynamoDB could improve by being more robust, having a better user interface and data management. Additionally, there is some limited functionality compared to other solutions, such as MongoDB."
"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."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"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 setup cost could be reduced. But overall, the tool works smoothly."
"Support is better if using a paid version."
"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."
"The solution could be cheaper."
"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."
"Arranging the database schema is a bit challenging."
"There are disadvantages when it comes to time series databases since you can't delete anything from Amazon Timestream data."
"There are certain features that we would like to see added and we are collaborating with the product teams on these areas."
 

Pricing and Cost Advice

"Compared to a high-end relational database, it's cheap."
"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."
"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."
"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."
"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."
"For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."
"Amazon Timestream's pricing seems manageable to me."
"For 1GB of data, the solution charges $ 0.01 in the US region."
"We don't see high costs with Amazon Timestream, which may vary by company."
"We pay over $10 million a year to Amazon."
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Top Industries

By visitors reading reviews
Computer Software Company
23%
Financial Services Firm
21%
Manufacturing Company
7%
Comms Service Provider
4%
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.
844,944 professionals have used our research since 2012.