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Amazon DynamoDB vs Google Cloud Bigtable 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
Google Cloud Bigtable
Ranking in Managed NoSQL Databases
8th
Average Rating
8.8
Number of Reviews
6
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 Google Cloud Bigtable is 8.3%, down from 9.6% 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.
Aakash Sharma - PeerSpot reviewer
Great for streaming data and being a managed service is an advantage
Our primary use case is for analytics, analyzing the data sets and curing Bigtable is very user-friendly where streaming data is required. I think it's relatively easier to use than Ascentra. The fact that it's a managed service is an advantage.   The cost of this product is too expensive.…

Quotes from Members

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

Pros

"DynamoDB is easy to configure, easy to use, and allows for writing data in JSON format."
"Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance."
"The technical support team is always available to help us."
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."
"We use the single table design pattern extensively since it helps us describe very complex patterns and data types on the table."
"Amazon DynamoDB is serverless and fast, and we can use different keys along with it in our code."
"Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested."
"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."
"Scalability-wise, I rate the solution a ten out of ten."
"The solution is very convenient."
"The most valuable feature is the backup and replication service."
"It's very user-friendly where streaming data is required."
 

Cons

"The process of making a query could be optimized."
"Support is better if using a paid version."
"If you purchase the support plan, their support team is good. If not, it takes two to three days to respond, sometimes even more."
"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."
"The solution would work fast if a contact center is in the same region."
"The pricing for larger databases is higher."
"The solution has size limitations. It also needs to be more user-friendly."
"I'd like to see better integration with Cognito. It has the integration, but I'd like to see a little more ease of setup. If you have multiple customers and you want the database to enforce who can see what, you can treat DynamoDB so that each row has permissions. You can set this up, but it's a little more of a science project to make Cognito and DynamoDB work well to do protection of individual rows. So I'd like that to be more wizard or easy to set up."
"The lagging problem of the product I face is an area of concern where improvements are required."
"Improvement should be made as per customer recommended and requirements."
"This product needs better security and transparency, and the price should be reduced."
"The cost of this product is too expensive."
"When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution."
"I've used Bigtable for about three or four years."
 

Pricing and Cost Advice

"Amazon DynamoDB is not an expensive solution."
"It is a little expensive."
"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."
"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'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."
"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."
"Given the services and benefits provided by AWS, the solution's pricing is average."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
19%
Manufacturing Company
7%
Healthcare Company
5%
Computer Software Company
14%
University
13%
Financial Services Firm
10%
Retailer
7%
 

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 do you like most about Google Cloud Bigtable?
Scalability-wise, I rate the solution a ten out of ten.
What needs improvement with Google Cloud Bigtable?
The lagging problem of the product I face is an area of concern where improvements are required. In general, the performance of the product needs improvement.
What is your primary use case for Google Cloud Bigtable?
When a client gives our organization a project where they need a dashboard for their company, they provide us with some data from their database, which is usually presented in Google Cloud Bigtable...
 

Overview

 

Sample Customers

Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
Cognite, Dow Jones, Loblaw Digital
Find out what your peers are saying about Amazon DynamoDB vs. Google Cloud Bigtable and other solutions. Updated: October 2024.
816,636 professionals have used our research since 2012.