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 #10 with an average rating of 9.3. Amazon Web Services (AWS) holds a 12.6% mindshare in MND, compared to Google’s 4.8% 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 44 Amazon DynamoDB reviews

1,203 Views
1,203 Comparison Views

97% willing to recommend

Google Cloud Bigtable

Read 7 Google Cloud Bigtable reviews

580 Views
580 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 Managed NoSQL Databases Report (Updated: November 2025).

Buyer's Guide

Managed NoSQL Databases

November 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

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Bigtable

Ranking in Managed NoSQL Databases

10th

Average Rating

8.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 12.6%, down from 20.5% compared to the previous year. The mindshare of Google Cloud Bigtable is 4.8%, down from 8.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Market Share Distribution
Product	Market Share (%)
Amazon DynamoDB	12.6%
Google Cloud Bigtable	4.8%
Other	82.6%

Managed NoSQL Databases

Featured Reviews

DeepakGurung

Lead SRE at JavaTech

Has improved infrastructure availability and simplified integration through reliable cloud-based data management

Amazon DynamoDB is readily available, and we do not have to worry about downtime unless there is a global outage. From a cost perspective, it presents a challenge. The primary feature is constant availability without concerns about server maintenance or ensuring database uptime, as AWS manages everything from their end. We simply set up the database and allocate it to customers according to their requirements, making it an easy and smooth transition. Regarding security, being in the cloud provides numerous security features. Amazon DynamoDB operates at the backend within our three-tier architecture. We have front hosting, business logic or application server in the middle, and databases at the backend. Additionally, we implement security layers such as SSL, creating a highly secure environment. The solution has proven to be reliable thus far.

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Akash Shanker

Team Lead at a financial services firm with 5,001-10,000 employees

Consistent performance and seamless cloud integration enhance analytics capabilities while reducing management complexity

One point for improvement in Google Cloud Bigtable is that people have confusion in mapping. There are many similar products available, and Google has managed services for similar products as well. It would be easier if the journey of knowing when to use Google Cloud Bigtable versus other Cloud SQL and alternates such as Cloud Spanner is made clearer for users. Regarding additional functionality for Google Cloud Bigtable, I am uncertain if LLMs can be integrated or if Google Cloud Bigtable can act as a vector store for LLM-specific use cases where we are interacting or using generative AI capabilities.

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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

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

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

"The most valuable features of the solution are its price and stability."

"DynamoDB is easy to configure, easy to use, and allows for writing data in JSON format."

"The platform is easy to develop and configure."

"AWS technical support is very friendly."

"DynamoDB is a key-value database, and it's valuable if you have simple scan queries and don't need to do point searches."

"Offers a vital query-handling feature"

More Amazon DynamoDB pros

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

"The main benefit I receive from Google Cloud Bigtable is the managed service part."

"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."

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

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

"The main benefit I receive from Google Cloud Bigtable is the managed service part."

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

"The solution is very convenient."

Cons

"The primary key is quite slow."

"Defining simple expressions and queries can be slightly complicated due to DynamoDB's unique JSON syntax. This can be confusing, especially for beginners."

"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."

"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 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."

"I initially faced issues with the solution's stability, performance, and security."

"The solution could be cheaper."

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."

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

"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."

"The cost of this product is too expensive."

Pricing and Cost Advice

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

"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."

"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."

"Amazon DynamoDB is not an expensive solution."

"Amazon DynamoDB is cheap."

"Amazon DynamoDB is a cheap solution."

"You can get committed capacity or transaction-based pricing. If you're doing it on demand, they charge based on whether you're reading or writing. They charge $1.25 for every million rights to the database and 25 cents for every million reads from the database. The first 25 gigabytes of storage are free, and they charge 25 cents a gigabyte a month. So, it's a very different world. It's a quarter a gigabyte a month. You can store a lot of data. They have a separate fee for automated backup, and if you want it globally distributed, where it's distributed around the world, there's a slightly different price."

"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."

More Amazon DynamoDB pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

16%

Manufacturing Company

Comms Service Provider

University

17%

Computer Software Company

Financial Services Firm

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	2
Large Enterprise	18

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?

All features have proven effective so far. The main area requiring attention is the cost aspect. If they reduce the cost, it would be exceptional. The features we currently use meet our requirement...

See all answers

What is your primary use case for Amazon DynamoDB?

I am a technical consultant working with AWS cloud, integrating tools into the cloud. As an SRE engineer, I primarily deal with AWS services such as EKS and Amazon DynamoDB. My main responsibility ...

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?

See all answers

What is your primary use case for Google Cloud Bigtable?

My main use case for Google Cloud Bigtable is mainly for advertisement-related analytics-related use cases.

See all answers

Comparisons

Amazon Keyspaces vs Amazon DynamoDB

Compared 27% of the time

Microsoft Azure Cosmos DB vs Amazon DynamoDB

Compared 24% of the time

Amazon Neptune vs Amazon DynamoDB

Compared 12% of the time

Google Cloud Firestore vs Amazon DynamoDB

Compared 11% of the time

More Amazon DynamoDB Competitors

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 31% of the time

MongoDB Enterprise Advanced vs Google Cloud Bigtable

Compared 26% of the time

Amazon Timestream vs Google Cloud Bigtable

Compared 13% of the time

Amazon Keyspaces vs Google Cloud Bigtable

Compared 10% of the time

More Google Cloud Bigtable Competitors

Product Reports

Buyer's Guide

Amazon DynamoDB

November 2025

Download Amazon DynamoDB product report

Buyer's Guide

Managed NoSQL Databases

November 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

Managed NoSQL Databases

November 2025

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