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 8.1, while Fireworks AI is ranked #11 with an average rating of 10.0. Amazon Web Services (AWS) holds a 3.7% mindshare in AIDP, compared to Fireworks AI’s 4.4% 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

6,285 Views
2,703 Comparison Views

91% willing to recommend

Fireworks AI

Read 1 Fireworks AI review

2,538 Views
2,208 Comparison Views

100% willing to recommend

Amazon SageMaker

Fireworks AI

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Executive Summary

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

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AI Development Platforms

February 2026

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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

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

11th

Average Rating

10.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

AI Software Development (21st), AI Finance & Accounting (4th), AI Research (4th)

Mindshare comparison

As of February 2026, in the AI Development Platforms category, the mindshare of Amazon SageMaker is 3.7%, down from 6.1% compared to the previous year. The mindshare of Fireworks AI is 4.4%, up from 4.0% 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	3.7%
Fireworks AI	4.4%
Other	91.9%

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…

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Quotes from Members

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

Pros

"The most valuable features in Amazon SageMaker are its AutoML, feature store, and automated hyperparameter tuning capabilities."

"SageMaker offers functionalities like Jupyter Notebooks for development, built-in algorithms, model tuning, and options to deploy models on managed infrastructure."

"Amazon SageMaker is highly valuable for managing ML workloads. It connects to AWS cloud resources, making it easy to deploy algorithms and collaborate using tools like GitLab. It offers a wide range of Python libraries and other necessary tools for modelling and algorithms."

"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."

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

"SageMaker supports building, training, and deploying AI models from scratch, which is crucial for my ML project."

"The tool makes our ML model development a bit more efficient because everything is in one environment."

"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."

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."

"Improvements are needed in terms of complexity, data security, and access policy integration in Amazon SageMaker."

"There are other better solutions for large data, such as Databricks."

"The main challenge with Amazon SageMaker is the integrations."

"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."

"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 user interface (UI) and user experience (UX) of SageMaker and AWS, in general, need improvement as they are not intuitive and require substantial time to learn how to use specific services."

"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."

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

"Amazon SageMaker is a very expensive product."

"The pricing is comparable."

"I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees."

"The solution is relatively cheaper."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten."

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

"On average, customers pay about $300,000 USD per month."

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

More Amazon SageMaker pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing Company

University

17%

Computer Software Company

11%

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	17

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...

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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...

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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?

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Compared 6% of the time

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Compared 31% of the time

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Compared 14% of the time

GroqCloud Platform vs Fireworks AI

Compared 14% of the time

Hugging Face vs Fireworks AI

Compared 13% of the time

Deep Infra vs Fireworks AI

Compared 4% of the time

More Fireworks AI Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

February 2026

Download Amazon SageMaker product report

Buyer's Guide

AI Development Platforms

February 2026

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

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February 2026

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