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Amazon Bedrock vs Google Firebase comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 16, 2024

Review summaries and opinions

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

ROI

Sentiment score
3.9
Amazon Bedrock offers cost-efficiency with a usage-based model, despite some initial billing issues affecting financial benefits.
Sentiment score
6.7
Google Firebase is cost-effective for large apps, with valuable features and manageable for small teams, despite some expenses.
 

Customer Service

Sentiment score
6.2
Amazon Bedrock's support is responsive and effective, highly rated for addressing issues quickly, though some areas need improvement.
Sentiment score
7.1
Users rarely need support due to excellent documentation and community resources, but views on direct support vary.
We are experiencing the fastest time ever to get things done with AI integrating into our work, regardless of where we are.
So, you always have to bridge the gap by presenting scenarios, getting recommendations, and testing or validating those assumptions.
My experience with the technical support has been very good because they resolved my billing issue within a day.
If the community doesn't have the answers, then I contact the Google Firebase team directly.
I do not currently find any other competitors that match its offering.
 

Scalability Issues

Sentiment score
6.0
Amazon Bedrock offers scalable solutions with AWS integration, facing limitations like rate limits and pricing concerns at hyperscale.
Sentiment score
6.8
Firebase is scalable and flexible, though some users face challenges with pricing and configuration as usage increases.
It is scalable on a truly global basis.
Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement.
It scales well with AWS Lambda, AWS Transcribe, and Polly.
It can handle all tiers of the market effectively.
Google also has some other cloud services, but when we compare Google Firebase, it is not as scalable.
I would rate the scalability of Google Firebase as eight because I miss some features from MS SQL, particularly the SQL functions.
 

Stability Issues

Sentiment score
7.2
Amazon Bedrock is praised for its reliability, security, seamless scalability, and stable performance, highly rated by users.
Sentiment score
8.0
Google Firebase is praised for its stability and reliability, with minor concerns about downtime and performance by some users.
The stability of Amazon Bedrock is good as I have not faced any issues.
In our company, we have prototypes on Google Firebase and productions on AWS Cloud.
 

Room For Improvement

Amazon Bedrock needs better documentation, integration, pricing, and enhanced AI capabilities to meet user demands for efficiency and accessibility.
Users want improved control, logging, queries, pricing, support, interface, documentation, and integration for better Cloud Function performance.
In AgenTek AI business, the only foundation models we can rely on for scaling now are the Cloud 3.5 models like Haiku and SONNET, designed for low latency and complex AI business use cases.
For companies in general, the main pain point or main issue related to Amazon Bedrock is security because they are not confident that all information is hidden by this kind of architecture.
If AWS provided methods, like five or six prompts that yield specific results, it would ease development.
Since Google Firebase is a NoSQL platform, areas for improvement include enhancing query functionalities to be more equivalent to SQL, like MS SQL.
Automation testing with mobile devices could be improved, especially in regression testing to ensure that new feature launches do not affect other features.
 

Setup Cost

Enterprise users appreciate Amazon Bedrock's flexible pricing, but some experience high costs, necessitating careful design to optimize expenses.
Google Firebase offers a free tier and scalable pricing, but users should carefully manage costs due to potential fluctuations.
Our cost is incredibly low, operating for a few hundred dollars a month in production.
One customer paid around $100 to $200 per month, which was significant given their overall infrastructure costs.
The pricing and licensing of Amazon Bedrock are quite flexible.
They could have implemented credits based on usage so that users would be able to easily calculate the pricing and provide it to customers.
Google Firebase offers a reasonable pricing structure.
 

Valuable Features

Amazon Bedrock enhances security, scalability, and efficiency with customizable AI models, seamless integration, and powerful computational resources.
Firebase excels with real-time database, authentication, cloud functions, push notifications, and scalability, ideal for rapid app development.
It has improved operational costs and efficiency significantly, saving money and enhancing the quality of operations.
The valuable features that have helped in leveraging generative AI for operational efficiency improvements include customization capabilities, various types of models suitable for specific use cases, and the integration of knowledge bases.
The ability to make changes in the foundational model is valuable since different customers have specific needs, allowing customization.
What I appreciate most about Google Firebase is the speed, accuracy, and security it offers.
It allows for pre-launch testing without publishing it on Google Play right away.
A real-time database.
 

Categories and Ranking

Amazon Bedrock
Ranking in Infrastructure as a Service Clouds (IaaS)
12th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
15
Ranking in other categories
AI Infrastructure (2nd)
Google Firebase
Ranking in Infrastructure as a Service Clouds (IaaS)
4th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
48
Ranking in other categories
No ranking in other categories
 

Featured Reviews

RodrigoBassani - PeerSpot reviewer
Advanced integration and flexible architecture drive efficient business solutions
I have to gain more maturity to provide some improvements to Amazon Bedrock. I have a lot to do with the environment they already provided. For example, they are able to connect to any LLM solution such as Llama, Meta, Gemini, or ChatGPT. It is open; you just choose your favorite LLM solution, and you can integrate it into Amazon Bedrock. We have a lot of possibilities to do this integration at this moment; we just need to work on it, create more maturity, and then we can provide some enhancements that we can see on the solution as a whole. For companies in general, the main pain point or main issue related to Amazon Bedrock is security because they are not confident that all information is hidden by this kind of architecture. They wonder if they are providing some company information that can run away, and I think that is the challenge we have now. We need to find ways to work on it and make our clients' data secure. They are looking for that to guarantee that this is a great solution for companies that is also secure.
Mehmet Batuhan Ülper - PeerSpot reviewer
Crash insights empower user analytics and highlight potential for session replay integration
We use Firebase for understanding crashes and tracking analytics about our users, which supports marketing, development, and distribution purposes Firebase has been helpful in providing analytics and crash insights. It still needs more detail for larger scale applications. Crashlytics is the…
report
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Manufacturing Company
12%
Financial Services Firm
9%
University
8%
University
11%
Computer Software Company
9%
Financial Services Firm
9%
Educational Organization
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Bedrock?
The pricing depends on the LLM model in use, such as the 1.2 Anthropic Claude ( /products/claude-reviews ). Costs are based on the number of characters obtained in return. It follows a pay-as-you-g...
What needs improvement with Amazon Bedrock?
The only aspect that could be improved about Amazon Bedrock is the pricing. There are no additional features or improvements needed for the product itself.
What is your primary use case for Amazon Bedrock?
Amazon Bedrock is one of the services which is similar to ChatGPT. From my perspective, I was creating a version of ChatGPT that would answer my customers' questions. The significant difference bet...
How does Microsoft Azure compare to Google Firebase?
I would recommend Google Firebase instead of Microsoft Azure, simply for the array of features that it has to offer. In particular, the Firebase library grants you access to a shared data structure...
Looking to compare Google Firebase, Amazon AWS, and Microsoft Azure
We like Google Firebase hosting and authentication and also the excellent cloud functionality. Our team found the flexibility of handling and dealing with the database through EDL to be very useful...
What do you like most about Google Firebase?
Google Analytics for Firebase is the best feature of the solution.
 

Overview

 

Sample Customers

Information Not Available
Fabulous, Pic Collage, Shazam, SkyScanner
Find out what your peers are saying about Amazon Bedrock vs. Google Firebase and other solutions. Updated: July 2025.
865,295 professionals have used our research since 2012.