Amazon DynamoDB vs Amazon Timestream comparison

Amazon DynamoDB and Amazon Timestream are both solutions in the Managed NoSQL Databases category. Amazon DynamoDB is ranked #2 with an average rating of 8.3, while Amazon Timestream is ranked #3 with an average rating of 9.0. Amazon DynamoDB holds a 17.6% mindshare in MND, compared to Amazon Timestream’s 9.7% mindshare. Additionally, 97% of Amazon DynamoDB users are willing to recommend the solution, compared to 100% of Amazon Timestream users who would recommend it.

Amazon DynamoDB

Read 42 Amazon DynamoDB reviews

1,704 Views
1,430 Comparison Views

97% willing to recommend

Amazon Timestream

Read 5 Amazon Timestream reviews

693 Views
595 Comparison Views

100% willing to recommend

Amazon DynamoDB

Amazon Timestream

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Executive SummaryUpdated on Mar 3, 2025

Amazon DynamoDB and Amazon Timestream are both AWS database products competing in their respective fields. While Amazon DynamoDB has broader applicability due to its versatility and scalable architecture, Amazon Timestream is optimized for time-based queries, making it invaluable for IoT and operational analytics tasks.

Features: Amazon DynamoDB is known for its reliable performance at scale, automatic scaling, and versatile query capabilities, making it ideal for applications requiring low-latency and high throughput. In contrast, Amazon Timestream's strength lies in handling complex time-series data with features like continuous querying and automatic data tiering that optimize storage costs. Both products offer robust feature sets, but Timestream is particularly suited for time-series data management.

Room for Improvement: Amazon DynamoDB could enhance its support for complex queries that involve multiple indexes or keys. Additionally, improving handling of larger single records and refining its user interface for more intuitive navigation would be beneficial. For Amazon Timestream, expanding integration capabilities with non-AWS tools, improving cost transparency, and enhancing documentation specific to time-series analysis scenarios would optimize its usability further.

Ease of Deployment and Customer Service: Amazon DynamoDB provides a straightforward deployment process with comprehensive documentation and robust API support, facilitating easy integration into existing applications. Amazon Timestream also ensures a seamless deployment experience with its focus on native integration with AWS services, which makes it accessible for AWS-driven environments. Both solutions offer reliable customer service, though DynamoDB's extensive documentation and community provide additional support for quick solutions and guidance.

Pricing and ROI: Amazon DynamoDB features a flexible pricing model based on throughput and storage, making budgeting predictable for high-scale applications. Amazon Timestream offers a cost-effective solution for managing time-series data, with automatic data tiering optimizing expenses over time. While DynamoDB might provide more predictable ROI for diverse workloads, Timestream offers significant value in efficiently managing and analyzing time-series data.

To learn more, read our detailed Amazon DynamoDB vs. Amazon Timestream Report (Updated: March 2025).

Buyer's Guide

Amazon DynamoDB vs. Amazon Timestream

March 2025

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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

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

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

Senior Engineering Consultant at ASSURANCE IQ, INC.

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.

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Sekhar Reddy B

Principal Software Engineer at Securonix

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.

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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."

More Amazon DynamoDB pros

"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."

More Amazon DynamoDB cons

"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."

More Amazon DynamoDB pricing and cost advice

"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

Comms Service Provider

Computer Software Company

22%

Financial Services Firm

12%

Manufacturing Company

10%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon DynamoDB?

We don't have to administer the tool.

See all answers

What needs improvement with Amazon DynamoDB?

There is nothing that I can think of for improvements.

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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.

See all answers

What is your experience regarding pricing and costs for Amazon Timestream?

Amazon Timestream's pricing seems manageable to me.

See all answers

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 ...

See all answers

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...

See all answers

Comparisons

Amazon Keyspaces vs Amazon DynamoDB

Compared 42% of the time

Microsoft Azure Cosmos DB vs Amazon DynamoDB

Compared 15% of the time

Amazon Neptune vs Amazon DynamoDB

Compared 14% of the time

Amazon DocumentDB vs Amazon DynamoDB

Compared 11% of the time

Oracle NoSQL Database Cloud vs Amazon DynamoDB

Compared 4% of the time

More Amazon DynamoDB Competitors

Amazon Neptune vs Amazon Timestream

Compared 25% of the time

Amazon DocumentDB vs Amazon Timestream

Compared 23% of the time

Google Cloud Bigtable vs Amazon Timestream

Compared 21% of the time

Microsoft Azure Cosmos DB vs Amazon Timestream

Compared 12% of the time

More Amazon Timestream Competitors

Product Reports

Buyer's Guide

Amazon DynamoDB

March 2025

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Buyer's Guide

Managed NoSQL Databases

March 2025

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Overview

Amazon DynamoDB is a scalable NoSQL database valued for its speed and cost efficiency, adept in handling unstructured data and delivering fast data retrieval without predefined schemas.

Amazon DynamoDB is recognized for seamless integration with AWS services and its ability to accommodate large datasets. It provides powerful performance with automatic scaling, JSON document storage, and requires no external configurations. Users appreciate the predictable performance and ease of use, although the documentation lacks clarity, and local access necessitates third-party tools. Complex queries can be challenging due to limited API options. Desired improvements include better integration with other services and an enhanced interface. The cost structure and data storage limitations present challenges with improvements needed in backup, restore, caching, and query performance.

What are the standout features of Amazon DynamoDB?

Scalability: Automatically adjusts capacity to accommodate workloads.
Integration: Seamless with various AWS services for comprehensive solutions.
NoSQL Flexibility: Adapts to diverse unstructured data needs.
JSON Storage: Stores and manages data in JSON format efficiently.
Automatic Scaling: Ensures efficient resource usage and cost management.

Which benefits should users consider in reviews?

Performance: Provides fast and efficient data retrieval.
Cost Efficiency: Manages data storage costs effectively.
Ease of Use: Offers a straightforward setup and management experience.
Flexibility: Adaptable to different data requirements and workloads.

Amazon DynamoDB is implemented in industries for IoT data management, weather data storage, localization automation, and large stream indexing. It's utilized for user data management in web services and e-commerce, providing high-performance, scalable storage solutions. Companies benefit from serverless architecture, JSON storage, and integration with Lambda for optimized data handling.

Amazon Web Services (AWS)

Amazon Timestream offers a fully managed, maintenance-free database designed specifically for time series data management, characterized by simplicity, speed, and scalability for handling real-time operations.

Amazon Timestream provides a powerful solution for managing time series data by enabling users to aggregate decades of data quickly and merge updates seamlessly. It excels in simplicity, speed, and scalability, making it an ideal choice for real-time analytics and IoT data storage. Despite its benefits, there's room for improvement in query explanations and integration with other AWS services. Enhancements in data indexing, batch limits, cost management, and schema arrangement are ongoing efforts to better serve its users.

What are the key features of Amazon Timestream?

Real-time Operations: Provides lag-free data management.
Maintenance-Free: No manual work required for setup or upkeep.
Scalability: Handles vast datasets efficiently.
Customizable: Easily adapts to specific business needs.
Fully Managed: Reduces the complexity of database management.

What benefits should users look for in reviews?

Operational Efficiency: Improved productivity with automated processes.
Simplified Data Management: Easy data merging without additional actions.
Cost Management: Monitoring data costs effectively.
Ease of Integration: Works seamlessly with other tools.

Industries implement Amazon Timestream to automate real-time analytics and manage IoT telemetry data. In microgrid solar projects, it aids in assessing safety and charge states, while in IoT networks, it serves as a comprehensive data historian for device data analysis, enhancing decision-making and operational efficiency.

Amazon Web Services (AWS)

Sample Customers

Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Buyer's Guide

Amazon DynamoDB vs. Amazon Timestream

March 2025

Free Report: Amazon DynamoDB vs. Amazon Timestream

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