Fireworks AI vs Google Cloud AI Platform comparison

Fireworks AI and Google are both solutions in the AI Development Platforms category. Fireworks AI is ranked #12 with an average rating of 10.0, while Google is ranked #7 with an average rating of 7.8. Additionally, 100% of Fireworks AI users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Fireworks AI

Read 1 Fireworks AI review

920 Views
819 Comparison Views

100% willing to recommend

Google Cloud AI Platform

Read 9 Google Cloud AI Platform reviews

3,419 Views
2,650 Comparison Views

100% willing to recommend

Fireworks AI

Google Cloud AI Platform

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Executive Summary

We performed a comparison between Fireworks AI and Google Cloud AI Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, Amazon Web Services (AWS) and others in AI Development Platforms.

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AI Development Platforms

January 2025

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Review summaries and opinions

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

Categories and Ranking

Fireworks AI

Ranking in AI Development Platforms

12th

Average Rating

10.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud AI Platform

Ranking in AI Development Platforms

7th

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

reviewer2588646

Senior Software Development Engineer at a tech services company with 1-10 employees

Enhanced text-to-image creation with solid API and fine-tuning support

We primarily use Fireworks AI for text-to-image generation. We are developing a platform for artists to sell their art styles, where the system helps them tune a model and then sell images generated from their signature Fireworks AI has helped our organization by enabling us to create a platform…

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Vipul-Kumar

CTO at Intelli AI LLC

An AI platform AI Platform to train your machine learning models at scale, to host your trained model in the cloud, and to use your model to make predictions about new data

I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite.

Read full review

Quotes from Members

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

Pros

"Fireworks AI has a solid API and is quite easy to interact with."

"On GCP, we are exposing our API services to our clients so that they send us their information. It can be single individual records or it can be a batch of their clients."

"The feedback left about these tools was really helpful and informative for us"

"I have seen measurable benefits from Google Cloud AI Platform."

"I think the user interface is quite handy, and it is easy to use as compared to the other cloud platforms."

"A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up with an operational solution really quick."

"The platform's Google Vision API is particularly valuable."

"Since the model could be trained in just a couple of hours and deploying it took only a few minutes, the entire process took less than an hour."

"Some of the valuable features are the vast amount of services that are available, such as load balancer, and the AI architecture."

More Google Cloud AI Platform pros

Cons

"When using the API, it does not return information about the charges for image generation, which would be useful for our solution."

"The technical support from Google is not very fast. I think it is about a five out of ten even though they have courses online where I can learn a lot, if I really need support, I have to wait a very long time."

"It could be more clear, and sometimes there are errors that I don't quite understand."

"The model management on Google Cloud AI Platform could be better."

"Customizations are very difficult, and they take time."

"The initial setup was straightforward for me but could be difficult for others."

"At first, there were only the user-managed rules to identify the best attributes of the individual. Then, we came up with a truth set and developed different machine learning models with the help of that truth set, so now it's completely machine learning."

"I think it's the it it also has has evolved quite a bit over the last few years, and Google Cloud folks have been getting, more and more services. But I think from a improvement standpoint, so maybe they can look at adding more algorithms, so adding more AI algorithms to their suite."

"The solution can be improved by simplifying the process to make your own models."

More Google Cloud AI Platform cons

Pricing and Cost Advice

Information not available

"The price of the solution is competitive."

"For every thousand uses, it is about four and a half euros."

"The licenses are cheap."

"The solution has an attractive starting program, which costs only 300 USD for a duration of three months. During this period, one can accomplish a lot of work on the solution."

"The pricing is on the expensive side."

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837,501 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

16%

University

15%

Comms Service Provider

Educational Organization

Computer Software Company

15%

Manufacturing Company

11%

Financial Services Firm

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Fireworks AI?

I cannot comment on pricing or setup cost since others handle that aspect. As a developer, I primarily use the API.

See all answers

What needs improvement with Fireworks AI?

Returning the values charged for each event generation would improve Fireworks AI. When using the API, it does not return information about the charges for image generation, which would be useful f...

See all answers

What is your primary use case for Fireworks AI?

See all answers

What do you like most about Google Cloud AI Platform?

A range of a a wide range of algorithms, EIM voice mails, which can be plugged in right away into your solution into into into our solution, and then have platform that provides know, to to come up...

See all answers

What is your experience regarding pricing and costs for Google Cloud AI Platform?

For the most part, the pricing is perfect sinceit grows with the use of my app. In some cases, they could be more specific about the pricing, especially for some AI features.

See all answers

What is your primary use case for Google Cloud AI Platform?

I use Google Cloud AI Platform due to Firebase and the many APIs that are available with it.

See all answers

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Compared 11% of the time

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Compared 10% of the time

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Compared 26% of the time

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Compared 26% of the time

Hugging Face vs Google Cloud AI Platform

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs Google Cloud AI Platform

Compared 14% of the time

TensorFlow vs Google Cloud AI Platform

Compared 2% of the time

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Product Reports

Buyer's Guide

AI Development Platforms

January 2025

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Buyer's Guide

AI Development Platforms

January 2025

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Overview

Fireworks AI uses advanced technologies to streamline operations and enhance user experience, catering to industry-specific requirements and driving innovation.

Fireworks AI integrates cutting-edge tools for data processing, offering seamless automation in managing complex workflows. It addresses industry needs through scalable solutions adaptable to personalized requirements. Fireworks AI ensures optimized performance, enhancing decision-making efficiency across businesses.

What are the crucial features of Fireworks AI?

Automated Workflow Management: Streamlines complex processes efficiently.
Data Analytics: Provides insightful analytics for informed strategy development.
Scalability: Offers flexible scaling to match business growth trajectories.
Industry Integration: Solutions tailored to the unique demands of different industries.

Which benefits and ROI should users evaluate?

Increased Efficiency: Significant reduction in workload through automation.
Cost Savings: Optimizes resources, leading to reduced operational costs.
Enhanced Decision-Making: Supports data-driven decisions for better outcomes.
Scalability: Facilitates growth without proportional cost increases.

Industries such as healthcare and finance benefit from Fireworks AI by streamlining data management, improving client interaction, and supporting compliance through automated document handling. Each deployment adjusts to specific sector demands, ensuring relevant application across diverse business environments.

Fireworks AI

Google AI Platform is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech.

Google

Sample Customers

Information Not Available

Carousell

Buyer's Guide

AI Development Platforms

January 2025

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