Amazon SageMaker vs Fireworks AI comparison

Amazon Web Services (AWS) and Fireworks AI are both solutions in the AI Development Platforms category. Amazon Web Services (AWS) is ranked #4 with an average rating of 8.0, while Fireworks AI is ranked #10 with an average rating of 10.0. Amazon Web Services (AWS) holds a 4.9% mindshare in AIDP, compared to Fireworks AI’s 6.1% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Fireworks AI users who would recommend it.

Amazon SageMaker

Read 38 Amazon SageMaker reviews

6,422 Views
2,826 Comparison Views

91% willing to recommend

Fireworks AI

Read 1 Fireworks AI review

1,913 Views
1,913 Comparison Views

100% willing to recommend

Amazon SageMaker

Fireworks AI

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Amazon SageMaker and Fireworks AI based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms.

To learn more, read our detailed AI Development Platforms Report (Updated: October 2025).

Buyer's Guide

AI Development Platforms

October 2025

Download the complete report

Helped 872,706 peers since 2012

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

Amazon SageMaker

Ranking in AI Development Platforms

4th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (2nd)

Fireworks AI

Ranking in AI Development Platforms

10th

Average Rating

10.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the AI Development Platforms category, the mindshare of Amazon SageMaker is 4.9%, down from 7.0% compared to the previous year. The mindshare of Fireworks AI is 6.1%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms Market Share Distribution
Product	Market Share (%)
Amazon SageMaker	4.9%
Fireworks AI	6.1%
Other	89.0%

AI Development Platforms

Featured Reviews

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Create innovative assistants with seamless data integration for large-scale projects

The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue integrate well for data transformations. The Databricks integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow, PyTorch, and MXNet, and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

Read full review

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…

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

"The product aggregates everything we need to build and deploy machine learning models in one place."

"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."

"I recommend SageMaker for ML projects if you need to build models from scratch."

"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."

"I appreciate the ease of use in Amazon SageMaker."

"The few projects we have done have been promising."

"SageMaker is a comprehensive platform where I can perform all machine learning activities."

"Allows you to create API endpoints."

More Amazon SageMaker pros

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

Cons

"While integration is available, there are concerns about how secure this integration is, particularly when exposing data to SageMaker."

"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."

"The platform could be more accessible to users with basic coding skills, making it more intuitive and easier for beginners to use comfortably."

"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."

"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker. This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background."

"There is room for improvement in the collaboration with serverless architecture, particularly integration with AWS Lambda."

"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."

More Amazon SageMaker cons

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

Pricing and Cost Advice

"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."

"The solution is relatively cheaper."

"SageMaker is worth the money for our use case."

"The support costs are 10% of the Amazon fees and it comes by default."

"The tool's pricing is reasonable."

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

"I would rate the solution's price a ten out of ten since it is very high."

"There is no license required for the solution since you can use it on demand."

More Amazon SageMaker pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.

See recommendations

872,706 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

11%

Manufacturing Company

University

16%

Computer Software Company

13%

Comms Service Provider

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	11
Large Enterprise	16

No data available

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

What do you like most about Amazon SageMaker?

We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...

See all answers

What is your experience regarding pricing and costs for Amazon SageMaker?

If you manage it effectively, their pricing is reasonable. It's similar to anything in the cloud; if you don't manage it properly, it can be expensive, but if you do, it's fine.

See all answers

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

Comparisons

Dataiku vs Amazon SageMaker

Compared 10% of the time

Databricks vs Amazon SageMaker

Compared 9% of the time

DataRobot vs Amazon SageMaker

Compared 8% of the time

Azure OpenAI vs Amazon SageMaker

Compared 8% of the time

GroqCloud Platform vs Amazon SageMaker

Compared 2% of the time

More Amazon SageMaker Competitors

Together Inference vs Fireworks AI

Compared 49% of the time

GroqCloud Platform vs Fireworks AI

Compared 14% of the time

Replicate vs Fireworks AI

Compared 13% of the time

Hugging Face vs Fireworks AI

Compared 11% of the time

Google Vertex AI vs Fireworks AI

Compared 3% of the time

More Fireworks AI Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

October 2025

Download Amazon SageMaker product report

Buyer's Guide

AI Development Platforms

October 2025

Download Fireworks AI product report

Also Known As

AWS SageMaker, SageMaker

No data available

Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Amazon Web Services (AWS)

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

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

Information Not Available

Buyer's Guide

AI Development Platforms

October 2025

Download Free Report

Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms. Updated: October 2025.

DOWNLOAD NOW

872,706 professionals have used our research since 2012.

See our list of best AI Development Platforms vendors.

We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.