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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
4.9
Amazon Bedrock offers cost-efficient foundation model experimentation, reducing manual processing time and resources for most users.
Sentiment score
7.5
Users find Google Firebase cost-effective with valuable features, though they sometimes choose cheaper alternatives for specific services.
 

Customer Service

Sentiment score
6.3
Amazon Bedrock's customer service is praised for responsiveness, though some seek improvements in specific features like Text and Kendra.
Sentiment score
7.0
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.
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
6.1
Amazon Bedrock integrates seamlessly with AWS but faces challenges at hyperscale due to rate limits, offering room for improvement.
Sentiment score
6.9
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.
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
7.8
Amazon Bedrock delivers reliable performance and scalability, maintaining stability under increasing workloads, highly rated by users for efficiency.
Sentiment score
8.1
Google Firebase is praised for its stability, reliability, and transparency, though some seek improved process management.
 

Room For Improvement

Amazon Bedrock needs improved documentation, UI, integration, pricing transparency, AI capabilities, security, API development, and creative task support.
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 with a pay-as-you-go model, though some users cite unexpected charges.
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.
Google Firebase offers a reasonable pricing structure.
 

Valuable Features

Amazon Bedrock enhances efficiency with secure, customizable AI models, seamless integration, and cost-effective scalability, improving operations and content creation.
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 ability to make changes in the foundational model is valuable since different customers have specific needs, allowing customization.
Our encryption keys are managed through Bedrock ecosystem by our clients.
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.
 

Categories and Ranking

Amazon Bedrock
Ranking in Infrastructure as a Service Clouds (IaaS)
12th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
13
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
47
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
Manufacturing Company
14%
Computer Software Company
12%
Financial Services Firm
11%
University
9%
Financial Services Firm
11%
University
11%
Computer Software Company
10%
Educational Organization
8%
 

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?
AWS ( /products/amazon-aws-reviews ) could add prompt engineering methods to its services. Currently, there are no prompt methods, so we have to experiment on our own. If AWS provided methods, like...
What is your primary use case for Amazon Bedrock?
We are using Amazon Bedrock ( /products/amazon-bedrock-reviews ) for generative AI-related tasks. We utilize Anthropic Claude ( /products/claude-reviews ) LLM to obtain appropriate answers for user...
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: June 2025.
860,168 professionals have used our research since 2012.