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 #7 with an average rating of 9.7. Amazon Web Services (AWS) holds a 21.1% mindshare in MND, compared to Google’s 7.9% 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 41 Amazon DynamoDB reviews

2,216 Views
1,889 Comparison Views

97% willing to recommend

Google Cloud Bigtable

Read 6 Google Cloud Bigtable reviews

1,185 Views
674 Comparison Views

100% willing to recommend

Amazon DynamoDB

Google Cloud Bigtable

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon DynamoDB and Google Cloud Bigtable based on real PeerSpot user reviews.

Find out in this report how the two Managed NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon DynamoDB vs. Google Cloud Bigtable Report (Updated: December 2024).

Buyer's Guide

Amazon DynamoDB vs. Google Cloud Bigtable

December 2024

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Helped 824,095 peers since 2012

Categories and Ranking

Amazon DynamoDB

Ranking in Managed NoSQL Databases

2nd

Average Rating

8.2

Reviews Sentiment

5.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Bigtable

Ranking in Managed NoSQL Databases

7th

Average Rating

8.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of December 2024, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 21.1%, down from 27.7% compared to the previous year. The mindshare of Google Cloud Bigtable is 7.9%, down from 9.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases

Featured Reviews

Rajni Kumar Jha

Senior Software Engineer at JPMorgan Chase & Co.

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.

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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

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

"I appreciate the visibility of DynamoDB, as I can observe everything on the Console."

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

"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."

"The best feature is NoSQL."

"The ability to store multiple data attributes is crucial. For example, in a contact flow, if a customer calls, we can integrate DynamoDB dynamically. We need only the customer's mobile number as the primary key, which is stored in the DynamoDB table."

"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."

"We use the single table design pattern extensively since it helps us describe very complex patterns and data types on the table."

More Amazon DynamoDB pros

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

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

"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."

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

"The solution is very convenient."

Cons

"The primary key is quite slow."

"The process of making a query could be optimized."

"The documentation is not good enough."

"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."

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

"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."

"There are some issues like if we missed something or somehow were not able to store the data, then it was quite difficult for us to get back that data."

"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."

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

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

"The cost of this product is too expensive."

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

Pricing and Cost Advice

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

"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"

"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 a cheap solution."

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

"The solution's pricing is good, and it's not expensive."

"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."

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

More Amazon DynamoDB pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

19%

Manufacturing Company

Healthcare Company

Computer Software Company

14%

University

12%

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.

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What needs improvement with Amazon DynamoDB?

There is nothing that I can think of for improvements.

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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 29% of the time

Microsoft Azure Cosmos DB vs Amazon DynamoDB

Compared 17% of the time

Amazon Neptune vs Amazon DynamoDB

Compared 15% of the time

Amazon DocumentDB vs Amazon DynamoDB

Compared 14% of the time

Amazon Timestream vs Amazon DynamoDB

Compared 8% of the time

More Amazon DynamoDB Competitors

Microsoft Azure Cosmos DB vs Google Cloud Bigtable

Compared 31% of the time

Amazon Timestream vs Google Cloud Bigtable

Compared 26% of the time

More Google Cloud Bigtable Competitors

Product Reports

Buyer's Guide

Amazon DynamoDB

December 2024

Download Amazon DynamoDB product report

Buyer's Guide

Managed NoSQL Databases

December 2024

Download Google Cloud Bigtable product report

Learn More

Amazon Web Services (AWS)

Google

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.

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.

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

December 2024

Free Report: Amazon DynamoDB vs. Google Cloud Bigtable

Find out what your peers are saying about Amazon DynamoDB vs. Google Cloud Bigtable and other solutions. Updated: December 2024.

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