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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 #5 with an average rating of 8.0, while Fireworks AI is ranked #11 with an average rating of 10.0. Amazon Web Services (AWS) holds a 5.3% mindshare in AIDP, compared to Fireworks AI’s 6.5% 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 37 Amazon SageMaker reviews
  • 3,316 Views
  • 2,266 Comparison Views
91% willing to recommend
Fireworks AI
Read 1 Fireworks AI review
  • 1,721 Views
  • 470 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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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
June 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
5th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
37
Ranking in other categories
Data Science Platforms (3rd)
Fireworks AI
Ranking in AI Development Platforms
11th
Average Rating
10.0
Reviews Sentiment
7.7
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the AI Development Platforms category, the mindshare of Amazon SageMaker is 5.3%, down from 7.6% compared to the previous year. The mindshare of Fireworks AI is 6.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Saurabh Jaiswal - PeerSpot reviewer
Create innovative assistants with seamless data integration for large-scale projects
The various integration options available in Amazon SageMaker ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), and comes with pre-trained algorithms for forecasting, anomaly detection, and more.
Read full review
reviewer2588646 - PeerSpot reviewer
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

"Allows you to create API endpoints."
"The most valuable features in Amazon SageMaker are its AutoML, feature store, and automated hyperparameter tuning capabilities."
"The most valuable feature of Amazon SageMaker is SageMaker Studio."
"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."
"The tool makes our ML model development a bit more efficient because everything is in one environment."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use."
More Amazon SageMaker pros
"Fireworks AI has a solid API and is quite easy to interact with."
 

Cons

"AI is a new area and AWS needs to have an internship training program available."
"The solution requires a lot of data to train the model."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"The product must provide better documentation."
"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."
"SageMaker would be improved with the addition of reporting services."
"The platform could be more accessible to users with basic coding skills, making it more intuitive and easier for beginners to use comfortably."
"There are other better solutions for large data, such as Databricks."
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

"I would rate the solution's price a ten out of ten since it is very high."
"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."
"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 could be better, especially for querying. The per-query model feels expensive."
"There is no license required for the solution since you can use it on demand."
"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."
"Amazon SageMaker is a very expensive product."
More Amazon SageMaker pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
12%
Manufacturing Company
8%
Educational Organization
7%
University
16%
Computer Software Company
15%
Comms Service Provider
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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?
The pricing is high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...
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?
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 generate...
See all answers
 

Comparisons

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Compared 11% of the time
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Azure OpenAI vs Amazon SageMaker
Compared 11% of the time
Google Vertex AI vs Amazon SageMaker Logo
Google Vertex AI vs Amazon SageMaker
Compared 9% of the time
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Together Inference vs Fireworks AI Logo
Together Inference vs Fireworks AI
Compared 52% of the time
GroqCloud Platform vs Fireworks AI Logo
GroqCloud Platform vs Fireworks AI
Compared 14% of the time
Replicate vs Fireworks AI Logo
Replicate vs Fireworks AI
Compared 12% of the time
Hugging Face vs Fireworks AI Logo
Hugging Face vs Fireworks AI
Compared 11% of the time
Azure OpenAI vs Fireworks AI Logo
Azure OpenAI vs Fireworks AI
Compared 3% of the time
More Fireworks AI Competitors
 

Product Reports

Buyer's Guide
Amazon SageMaker
June 2025
Amazon SageMaker reportDownload Amazon SageMaker product report
Buyer's Guide
AI Development Platforms
June 2025
Fireworks AI reportDownload 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
June 2025
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