Amazon DynamoDB vs Google Cloud Bigtable comparison

Amazon Web Services (AWS) and Google are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.3, while Google is ranked #8 with an average rating of 9.7. Amazon Web Services (AWS) holds a 17.6% mindshare in MND, compared to Google’s 5.2% mindshare. Additionally, 97% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon DynamoDB

Read 42 Amazon DynamoDB reviews

1,704 Views
1,430 Comparison Views

97% willing to recommend

Google Cloud Bigtable

Read 6 Google Cloud Bigtable reviews

909 Views
514 Comparison Views

100% willing to recommend

Amazon DynamoDB

Google Cloud Bigtable

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 3, 2025

Google Cloud Bigtable and Amazon DynamoDB are competing in the NoSQL database sector. Amazon DynamoDB seems to have an advantage due to its extensive features and adaptability.

Features: Google Cloud Bigtable is known for its speed and high-throughput handling, optimal for real-time analytics and large-scale operations. It offers competitive pricing and consistent support. Amazon DynamoDB provides integrated security, global table support, and a serverless architecture, appealing for flexibility. Its robust features support advanced capabilities and scalability.

Room for Improvement: Google Cloud Bigtable could enhance its feature set to rival competitors better. More integrations with other cloud services and tools would be beneficial. Increased transparency in pricing models could help attract more cost-conscious customers. Amazon DynamoDB could streamline its complex setup process. Expanding documentation on advanced features and providing more detailed cost predictions could improve user experience. An easier interface for handling multiple indexes or complex queries would be desirable.

Ease of Deployment and Customer Service: Google Cloud Bigtable emphasizes a straightforward deployment process, offering detailed documentation and customer service access. Amazon DynamoDB's deployment is more complex but is supported by extensive resources and customer support, catering to users needing comprehensive service interaction.

Pricing and ROI: Google Cloud Bigtable provides competitively priced solutions focused on cost-efficient large-scale data management, evident in its transparent ROI potential through lower infrastructure needs. Amazon DynamoDB, while having higher setup costs, offers advanced capabilities and a feature-rich environment, potentially leading to better ROI for businesses needing flexibility.

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

Buyer's Guide

Amazon DynamoDB vs. Google Cloud Bigtable

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

Google Cloud Bigtable

Ranking in Managed NoSQL Databases

8th

Average Rating

8.8

Reviews Sentiment

8.1

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 Google Cloud Bigtable is 5.2%, down from 9.9% 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.

Read full review

Aakash Sharma

Senior Technical Architect at HCL Technologies

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.…

Read full review

Quotes from Members

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

Pros

"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."

"Being serverless, it alleviates concerns about scalability and failover."

"The best feature of the solution is that it is a NoSQL database."

"The best feature is NoSQL."

"Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance."

"The solution is very simple to use."

"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."

"Never used the support. I got all the information from the documentation."

More Amazon DynamoDB pros

"It's very user-friendly where streaming data is required."

"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."

"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."

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

"Scalability-wise, I rate the solution a ten out of ten."

"The solution is very convenient."

Cons

"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."

"I would rate the stability a seven out of ten. We faced some configuration issues."

"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. So this would eliminate the need for agents to manually inform customers."

"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."

"Support is better if using a paid version."

"The solution's backup and restore could be improved to be able to utilize batch operations."

"The documentation is not good enough."

"Amazon DynamoDB has a very complex configuration if you go very advanced."

More Amazon DynamoDB cons

"Improvement should be made as per customer recommended and requirements."

"The cost of this product is too expensive."

"I've used Bigtable for about three or four years."

"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."

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

"The lagging problem of the product I face is an area of concern where improvements are required."

Pricing and Cost Advice

"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."

"It is costly. To reduce the costs, users need to read the node in front of it. For read-heavy groups, cache optimization can help manage costs.I can't disclose specific pricing, but it's competitive compared to others in the market, and this information is easily accessible online"

"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."

"Compared to a high-end relational database, it's cheap."

"The product is expensive"

"I would rate the pricing for this solution a four out of five."

"Given the services and benefits provided by AWS, the solution's pricing is average."

"Amazon DynamoDB is not an expensive solution."

More Amazon DynamoDB pricing and cost advice

Information not available

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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

15%

University

13%

Financial Services Firm

10%

Comms Service Provider

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.

See all answers

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 do you like most about Google Cloud Bigtable?

Scalability-wise, I rate the solution a ten out of ten.

See all answers

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.

See all answers

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...

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

More Amazon DynamoDB Competitors

Amazon Timestream vs Google Cloud Bigtable

Compared 42% of the time

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 26% of the time

MongoDB vs Google Cloud Bigtable

Compared 14% of the time

More Google Cloud Bigtable Competitors

Product Reports

Buyer's Guide

Amazon DynamoDB

March 2025

Download Amazon DynamoDB product report

Buyer's Guide

Managed NoSQL Databases

March 2025

Download Google Cloud Bigtable product report

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)

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.

Google

Sample Customers

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

Cognite, Dow Jones, Loblaw Digital

Buyer's Guide

Amazon DynamoDB vs. Google Cloud Bigtable

March 2025

Free Report: Amazon DynamoDB vs. Google Cloud Bigtable

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