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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

"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."
"Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance."
"The technical support team is always available to help us."
"The ability to store multiple data attributes is crucial. For example, in a contact flow, if a customer calls, we can integrate DynamoDB dynamically. We need only the customer's mobile number as the primary key, which is stored in the DynamoDB table."
"Amazon DynamoDB is powerful and fast. Its performance is good."
"Offers a vital query-handling feature"
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."
"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."
"You can quickly aggregate data from the last ten years with Amazon Timestream."
"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."
"If you drop a message, the solution's technical support will definitely reply."
 

Cons

"The user interface could be improved to make it more intuitive."
"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."
"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."
"Having an import option, whether through browsing or local file uploads, would significantly improve the efficiency of data migration, enabling users to swiftly transfer large volumes of data into DynamoDB."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"The primary key is quite slow."
"The solution has size limitations. It also needs to be more user-friendly."
"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 could be improved by increasing the batch size from one hundred records to five hundred or a thousand to speed up indexing."
"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."
"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."
"There are disadvantages when it comes to time series databases since you can't delete anything from Amazon Timestream data."
 

Pricing and Cost Advice

"It's an expensive solution"
"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."
"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."
"The solution's pricing is good, and it's not expensive."
"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."
"Compared to a high-end relational database, it's cheap."
"Amazon DynamoDB is not an expensive solution."
"The solution is cheaper than Cosmos DB."
"We pay over $10 million a year to Amazon."
"We don't see high costs with Amazon Timestream, which may vary by company."
"For 1GB of data, the solution charges $ 0.01 in the US region."
"Amazon Timestream's pricing seems manageable to me."
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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.
842,767 professionals have used our research since 2012.