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 4.8% mindshare in AIDP, compared to Fireworks AI’s 5.9% 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

6,279 Views
2,763 Comparison Views

91% willing to recommend

Fireworks AI

Read 1 Fireworks AI review

1,965 Views
1,965 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

October 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

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 November 2025, in the AI Development Platforms category, the mindshare of Amazon SageMaker is 4.8%, down from 6.9% compared to the previous year. The mindshare of Fireworks AI is 5.9%, up from 2.4% 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	4.8%
Fireworks AI	5.9%
Other	89.3%

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.

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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

"They are doing a good job of evolving."

"The feature I found most valuable is the data catalog, as it assists with the lineage of data through the preparation pipeline."

"The most valuable features are the ability to store artifacts and gather reports and measures from experiments."

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

"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."

"The most valuable feature of Amazon SageMaker is SageMaker Studio."

"The technical support from AWS is excellent."

"One of the most valuable features of Amazon SageMaker for me is the one-touch deployment, which simplifies the process greatly."

More Amazon SageMaker pros

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

Cons

"Amazon might need to emphasize its capabilities in generative models more effectively."

"The entry point can be a bit difficult. Having all documentation easily accessible on the front page of SageMaker would be a great improvement."

"The product must provide better documentation."

"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."

"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."

"I would recommend having more walkthrough videos and articles beyond AWS Skill Builder."

"For any cloud provider, the cost has to be substantially reduced, especially in the case of Amazon SageMaker, which is extremely expensive for huge workloads."

"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."

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 pricing could be better, especially for querying. The per-query model feels expensive."

"The tool's pricing is reasonable."

"You don't pay for Sagemaker. You only pay for the compute instances in your storage."

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

"The product is expensive."

"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."

"Databricks solution is less costly than Amazon SageMaker."

"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."

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

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...

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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...

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What is your primary use case for Fireworks AI?

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Comparisons

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Compared 10% of the time

Databricks vs Amazon SageMaker

Compared 9% of the time

Google Vertex AI vs Amazon SageMaker

Compared 8% of the time

DataRobot vs Amazon SageMaker

Compared 8% of the time

Microsoft Azure Machine Learning Studio vs Amazon SageMaker

Compared 2% of the time

More Amazon SageMaker Competitors

Together Inference vs Fireworks AI

Compared 46% of the time

GroqCloud Platform vs Fireworks AI

Compared 15% of the time

Replicate vs Fireworks AI

Compared 14% of the time

Hugging Face vs Fireworks AI

Compared 11% of the time

Azure OpenAI vs Fireworks AI

Compared 4% of the time

More Fireworks AI Competitors

Product Reports

Buyer's Guide

Amazon SageMaker

November 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

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