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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
6.8
Amazon Bedrock offers cost-efficient usage-based charges but unexpected fees may impact perceived returns despite reduced manual intervention.
Sentiment score
7.5
Google Firebase is cost-effective, offers automation features, supports SMS, and is a valuable investment with positive ROI for many users.
 

Customer Service

Sentiment score
7.9
Amazon Bedrock's customer service is highly rated for efficiency and responsiveness, with strong support and documentation quality.
Sentiment score
7.0
Google Firebase offers excellent documentation and community support, with responsive service reducing the need for direct contact.
So, you always have to bridge the gap by presenting scenarios, getting recommendations, and testing or validating those assumptions.
I do not currently find any other competitors that match its offering.
If the community doesn't have the answers, then I contact the Google Firebase team directly.
 

Scalability Issues

Sentiment score
7.1
Amazon Bedrock excels in scalability using AWS, integrating well yet faces limitations like rate and token limits at hyperscale.
Sentiment score
6.9
Google Firebase is scalable with ease of use, but high costs and performance issues occur at larger scales.
It is scalable on a truly global basis.
It scales well with AWS Lambda, AWS Transcribe, and Polly.
Amazon Bedrock is quite highly scalable, but there are some limitations they impose on the accounts, which could be an area for improvement.
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
8.6
Amazon Bedrock is reliable and stable, handling workloads seamlessly, maintaining performance, and achieving high user satisfaction ratings.
Sentiment score
8.1
Users highly rate Google Firebase for its stability, reliability, and security, despite minor issues with integration and downtime.
 

Room For Improvement

Users seek improvements in documentation, integration, pricing, UI, AI capabilities, and introduction of Amazon native models.
Google Firebase needs improvements in cloud function controls, pricing, SQL queries, real-time features, support, integrations, and user-friendliness.
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.
If AWS provided methods, like five or six prompts that yield specific results, it would ease development.
The user interface of Amazon Bedrock on the management console needs improvements.
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 flexible, consumption-based pricing, cost-effective for experimentation, though enterprise models can be expensive.
Google Firebase offers competitive pricing with a free tier, essential understanding needed as costs scale with data and users.
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.
It follows a pay-as-you-go model, with different pricing for context and versions like 1.2, 2.3, and 3.1.
Google Firebase offers a reasonable pricing structure.
 

Valuable Features

Amazon Bedrock offers secure, cost-effective AI model customization and seamless integration, enhancing performance and trust in deployments.
Google Firebase provides real-time database, authentication, cloud functions, and app enhancement features, making it ideal for mobile development.
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.
Data encryption while in transit and at rest is managed through Bedrock account.
What I appreciate most about Google Firebase is the speed, accuracy, and security it offers.
These features are invaluable for mobile development and ensuring smooth internal operations.
 

Categories and Ranking

Amazon Bedrock
Ranking in Infrastructure as a Service Clouds (IaaS)
13th
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
11
Ranking in other categories
AI Infrastructure (3rd)
Google Firebase
Ranking in Infrastructure as a Service Clouds (IaaS)
4th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
47
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Charles Powell - PeerSpot reviewer
Very good security features for strengthened data protection
I am not going to speak to their roadmap. Amazon operates Bedrock as an ecosystem supporting third-party models. I am speculating here, but I am sure those third-party models will always be present. However, one must consider that Amazon native models could proliferate Bedrock in the future. We would welcome Amazon native models to Bedrock, since, if they are natively built by Amazon, they are tuned to SageMaker and other Amazon service layers. They have done this somewhat for generative AI, however, 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.
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
18%
Financial Services Firm
14%
Computer Software Company
13%
Transportation Company
9%
Computer Software Company
12%
Financial Services Firm
10%
University
10%
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 and licensing of Amazon Bedrock are quite flexible.
What needs improvement with Amazon Bedrock?
Currently, I do not have any thoughts about what areas of Amazon Bedrock need improvement.
What is your primary use case for Amazon Bedrock?
I am using Amazon Bedrock ( /products/amazon-bedrock-reviews ) mainly to do some analysis of customer support calls.
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: April 2025.
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