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Amazon SageMaker vs Fireworks AI comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.0
Number of Reviews
38
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
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the AI Development Platforms category, the mindshare of Amazon SageMaker is 4.8%, down from 7.2% compared to the previous year. The mindshare of Fireworks AI is 6.3%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms Market Share Distribution
ProductMarket Share (%)
Amazon SageMaker4.8%
Fireworks AI6.3%
Other88.9%
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, 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.
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…

Quotes from Members

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

Pros

"They offer insights into everyone making calls in my organization."
"The most valuable features include the ML operations that allow for designing, deploying, testing, and evaluating models."
"The deployment is very good, where you only need to press a few buttons."
"SageMaker is a comprehensive platform where I can perform all machine learning activities."
"We were able to use the product to automate processes."
"The feature I found most valuable is the data catalog, as it assists with the lineage of data through the preparation pipeline."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."
"Fireworks AI has a solid API and is quite easy to interact with."
 

Cons

"The main challenge with Amazon SageMaker is the integrations."
"While integration is available, there are concerns about how secure this integration is, particularly when exposing data to SageMaker."
"The product must provide better documentation."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"AI is a new area and AWS needs to have an internship training program available."
"When starting a new session, the waiting time can be quite long, ranging from two to five minutes."
"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."
"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."
"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

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."
"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."
"I would rate the solution's price a ten out of ten since it is very high."
"Amazon SageMaker is a very expensive product."
"The pricing could be better, especially for querying. The per-query model feels expensive."
"The product is expensive."
"The pricing is comparable."
"The tool's pricing is reasonable."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
11%
Manufacturing Company
9%
University
6%
University
16%
Computer Software Company
13%
Comms Service Provider
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise11
Large Enterprise16
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...
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...
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.
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.
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...
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...
 

Comparisons

 

Also Known As

AWS SageMaker, SageMaker
No data available
 

Overview

 

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Information Not Available
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