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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's cost-effective model allows affordable experimentation and efficiency, reducing manual intervention and resource use significantly.
Sentiment score
6.7
Users find Google Firebase cost-effective with valuable features, though they sometimes choose cheaper alternatives for specific services.
 

Customer Service

Sentiment score
6.2
Amazon Bedrock's highly rated customer service and AI integration enhance user satisfaction, with effective issue resolution and ample resources.
Sentiment score
7.1
Google Firebase's clear documentation aids troubleshooting, with mixed feedback on direct support and users often relying on community forums.
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 is scalable and integrates well with AWS, but has usage limitations and pricing concerns for large-scale deployments.
Sentiment score
6.8
Google Firebase is scalable with ease of integration but faces cost, performance, and configurability challenges for some users.
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 provides consistent performance and stability, with seamless scalability using AWS components, ensuring reliable operations without notable downtime.
Sentiment score
8.0
Google Firebase is praised for its stability, reliability, and transparency, though some seek improved process management.
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 improved documentation, integrations, user interfaces, security, and cost transparency to enhance competitiveness and user experience.
Firebase needs improvements in control, pricing, support, speed, querying, customization, language support, UI, and integration capabilities.
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

Amazon Bedrock offers competitive, flexible pricing but can incur high costs for enterprises if not managed carefully.
Google Firebase offers a generous free tier and flexible pay-as-you-go model, though international costs can add up.
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 provides secure, user-friendly AI solutions with diverse models, AWS integration, and client transparency, enhancing operational efficiency.
Google Firebase offers real-time database, seamless integration, powerful analytics, scalability, and robust features for efficient app development and hosting.
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)
5th
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.
Shravan Revanna - PeerSpot reviewer
Simple to get started with and offers integration features in multiple programming languages
The product provides integration features in multiple languages, such as Python, JavaScript, Golang, and all other languages. Google Firebase has documentation, which might seem a bit confusing, but one with decent knowledge can easily explore and get started with Firebase quickly. Before jumping into any cloud infrastructure, the tool should analyze how much it would cost to run the database. Google Firebase provides a certain number of reads and writes per day, which is approximately 40,000 reads and writes. If there are more than 200 to 300 active users per day, there will be plenty of reads and writes to the database. In such a case, one can't use Google Firebase and has to upgrade to Spark, which is where it is based on usage. The tool is fairly simple to get started with. Utilize all the features can get very complicated. One must be a pretty good developer who has a lot of experience to be able to utilize the best features. It gets really complicated over time. The basic functionality and basic usage are easy to use and easy to get started. There are plenty of deprecated versions, and frequently upgrading them causes inconvenience. I rate the tool a nine out of ten.
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Manufacturing Company
12%
University
9%
Financial Services Firm
9%
University
11%
Financial Services Firm
9%
Computer Software Company
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?
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...
What is your primary use case for Amazon Bedrock?
The principal use case for Amazon Bedrock that we are working on is regarding a logistic company that has a flow where they receive emails to look for incoming invoices. We have an architecture tha...
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.
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