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 17.1% mindshare in MND, compared to Google’s 5.6% 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 43 Amazon DynamoDB reviews

1,462 Views
1,164 Comparison Views

97% willing to recommend

Google Cloud Bigtable

Read 6 Google Cloud Bigtable reviews

761 Views
398 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: June 2025).

Buyer's Guide

Amazon DynamoDB vs. Google Cloud Bigtable

June 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 June 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 17.1%, down from 24.9% compared to the previous year. The mindshare of Google Cloud Bigtable is 5.6%, down from 9.5% 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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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.…

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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

"Capable of auto-scaling and integrates easily with other tools"

"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."

"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."

"The fact that Amazon DynamoDB is highly scalable is one of its best features."

"The transactions are very fast, and the cost is low with Amazon DynamoDB."

"We switched to DynamoDB from a relational database that would've had scale problems and would've cost a lot of money to run at scale. DynamoDB allows us to match expense to usage. When not many people are using and it's a quiet day, there is a low cost. On a busy day, there is a higher cost. We get good performance along the way and less maintenance on the database."

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

More Amazon DynamoDB pros

"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."

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

"The solution is very convenient."

"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."

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

Cons

"The pricing for larger databases is higher."

"Support is better if using a paid version."

"The user interface could be improved to make it more intuitive."

"Amazon DynamoDB can be quite expensive due to regional differences, so I have to be careful with the pricing."

"The solution's efficiency and performance should be faster than other databases."

"Maybe the documentation could be improved a bit. Sometimes, it's a little confusing, and people can easily be mistaken about DynamoDB."

"The primary key is quite slow."

"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."

More Amazon DynamoDB cons

"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."

"The cost of this product is too expensive."

"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."

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

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

Pricing and Cost Advice

"It's an expensive solution"

"The product is expensive"

"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."

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

"The solution is cheaper than Cosmos DB."

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

"For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."

More Amazon DynamoDB pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

22%

Financial Services Firm

20%

Manufacturing Company

Educational Organization

Computer Software Company

16%

University

14%

Manufacturing Company

Retailer

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?

The user interface could be improved to make it more intuitive. From a design and solution perspective, it's really good, but the interface always has room for enhancement.

See all answers

What is your primary use case for Amazon DynamoDB?

We use Amazon DynamoDB for data lookups with the consultancy.

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 45% of the time

Microsoft Azure Cosmos DB vs Amazon DynamoDB

Compared 16% of the time

Amazon Neptune vs Amazon DynamoDB

Compared 13% of the time

Amazon Timestream vs Amazon DynamoDB

Compared 10% of the time

Oracle NoSQL Database Cloud vs Amazon DynamoDB

Compared 4% of the time

More Amazon DynamoDB Competitors

Amazon Timestream vs Google Cloud Bigtable

Compared 34% of the time

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 28% of the time

MongoDB vs Google Cloud Bigtable

Compared 23% of the time

More Google Cloud Bigtable Competitors

Product Reports

Buyer's Guide

Amazon DynamoDB

June 2025

Download Amazon DynamoDB product report

Buyer's Guide

Managed NoSQL Databases

June 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

June 2025

Free Report: Amazon DynamoDB vs. Google Cloud Bigtable

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