Compare Amazon DynamoDB vs. Google Cloud Bigtable

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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
"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.""One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data."

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"The most valuable feature is the backup and replication service."

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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.""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."

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"This product needs better security and transparency, and the price should be reduced."

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Pricing and Cost Advice
"Its subscription cost is lower than similar databases offered by other vendors."

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Questions from the Community
Top Answer: 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… more »
Top Answer: 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… more »
Top Answer: I am currently using it for proof of concept and testing out its capabilities. We are publishing the IoT data on DynamoDB. We have its latest version.
Top Answer: The most valuable feature is the backup and replication service.
Top Answer: For onboarding customers, it is critical that there is transparency and that the price is reasonable. This product needs better security and transparency, and the price should be reduced.
Top Answer: We are a product team and we implement solutions such as Bigtable for our clients. The primary use is Data Management as a Service.
Ranking
Views
3,104
Comparisons
2,624
Reviews
3
Average Words per Review
369
Rating
8.0
Views
1,098
Comparisons
885
Reviews
1
Average Words per Review
307
Rating
8.0
Comparisons
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Overview

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

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Learn more about Amazon DynamoDB
Learn more about Google Cloud Bigtable
Sample Customers
Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
Cognite, Dow Jones, Loblaw Digital
Top Industries
VISITORS READING REVIEWS
Media Company27%
Comms Service Provider21%
Computer Software Company20%
Energy/Utilities Company5%
VISITORS READING REVIEWS
Comms Service Provider29%
Computer Software Company26%
Media Company10%
Retailer5%
Find out what your peers are saying about Amazon DynamoDB vs. Google Cloud Bigtable and other solutions. Updated: September 2021.
534,057 professionals have used our research since 2012.

Amazon DynamoDB is ranked 1st in Managed NoSQL Databases with 2 reviews while Google Cloud Bigtable is ranked 3rd in Managed NoSQL Databases with 1 review. Amazon DynamoDB is rated 8.0, while Google Cloud Bigtable is rated 8.0. The top reviewer of Amazon DynamoDB writes "Good scalability, low subscription cost, and meets our requirements". On the other hand, the top reviewer of Google Cloud Bigtable writes "Good backup and replications options, and there are no issues with support". Amazon DynamoDB is most compared with Amazon Timestream, Microsoft Azure Cosmos DB, Amazon DocumentDB, Amazon Neptune and Oracle NoSQL Database Cloud, whereas Google Cloud Bigtable is most compared with Microsoft Azure Cosmos DB, Amazon Timestream, Amazon Neptune and Oracle NoSQL Database Cloud.

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We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.