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Amazon DynamoDB vs Amazon Timestream comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

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
Amazon Timestream
Ranking in Managed NoSQL Databases
4th
Average Rating
9.0
Number of Reviews
5
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 DynamoDB is 21.4%, down from 28.3% compared to the previous year. The mindshare of Amazon Timestream is 11.6%, up from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases
 

Featured Reviews

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.
Sushil Pandey - PeerSpot reviewer
It is helpful to get telemetry data from the devices in real-time
It is an easily scalable solution. When it comes to the retention period, if someone wants to change, they have to define it at the start. Later on, if users want to change it again, like, or increase the retention policy, then they have to create the table again and do so, and if it is not done, then we face problems. It will increase the retention, but when you try to insert a record or an older record that is not included in the range of your retention period, then you can face some problems and, like, it will throw some errors. The tool is scalable, but it should be defined at the start as to how much retention you want. For scalability, I rate the tool a six or seven out of ten.

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 feature of this solution is the non-relational database."
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"Amazon DynamoDB is powerful and fast. Its performance is good."
"The transactions are very fast, and the cost is low with Amazon DynamoDB."
"Amazon DynamoDB is serverless and fast, and we can use different keys along with it in our code."
"The best feature is NoSQL."
"Capable of auto-scaling and integrates easily with other tools"
"Being serverless, it alleviates concerns about scalability and failover."
"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."
"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."
"If you drop a message, the solution's technical support will definitely reply."
 

Cons

"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."
"The solution could be cheaper."
"The response time for data queries should be less than a second"
"The primary key is quite slow."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
"The solution would work fast if a contact center is in the same region."
"Querying data on the solution is quite limited, but this is like any other NoSQL database. It's the most common criticism of the NoSQL database in general."
"The solution's efficiency and performance should be faster than other databases."
"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 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."
"Arranging the database schema is a bit challenging."
 

Pricing and Cost Advice

"Its subscription cost is lower than similar databases offered by other vendors."
"Amazon DynamoDB is a cheap solution."
"I can say that it is not the cheapest one because if we had our own kind of storage solution, our own hosting, and instead of using the cloud, we opted for some other method, it would have been a tool of a lower cost."
"The product is expensive"
"It's an expensive solution"
"For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."
"Given the services and benefits provided by AWS, the solution's pricing is average."
"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."
"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."
"Amazon Timestream's pricing seems manageable to me."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
19%
Manufacturing Company
7%
Healthcare Company
5%
Computer Software Company
22%
Financial Services Firm
13%
Manufacturing Company
8%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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...
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: October 2024.
816,406 professionals have used our research since 2012.