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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
4th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
36
Ranking in other categories
Data Science Platforms (3rd)
Fireworks AI
Ranking in AI Development Platforms
12th
Average Rating
10.0
Reviews Sentiment
7.7
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Hemant Paralkar - PeerSpot reviewer
Improves team collaboration with advanced feature sharing but needs a better user experience
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. Additionally, dealing with frequent UI updates can be challenging, especially for infrastructure architects like myself. It involves effort to migrate to new UIs, making the updates not seamless. User auditing requires enhancements as tracking operations performed by users can be difficult due to dynamic IP validation and role propagation.
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

"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."
"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."
"I appreciate the ease of use in Amazon SageMaker."
"The most tool's valuable feature, in my experience, is hyperparameter tuning. It allows us to test different parameters for the same model in parallel, which helps us quickly identify the configuration that yields the highest accuracy. This parallel computing capability saves us a lot of time."
"The technical support of the tool was good."
"The intuitive interface and streamlined user experience make it easy to navigate and set up various tools like Visual Studio Code or Jupyter Notebook."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"Fireworks AI has a solid API and is quite easy to interact with."
 

Cons

"The solution requires a lot of data to train the model."
"Lacking in some machine learning pipelines."
"When starting a new session, the waiting time can be quite long, ranging from two to five minutes."
"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."
"The dashboard could be improved by including more features and providing more information about deployed models, their drift, performance, scaling, and customization options."
"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."
"One area for improvement is the pricing, which can be quite high."
"Improvements are needed in terms of complexity, data security, and access policy integration in Amazon SageMaker."
"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."
"Databricks solution is less costly than Amazon SageMaker."
"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."
"On average, customers pay about $300,000 USD per month."
"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."
"The tool's pricing is reasonable."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Educational Organization
15%
Computer Software Company
11%
Manufacturing Company
9%
University
16%
Computer Software Company
16%
Financial Services Firm
6%
Retailer
6%
 

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...
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?
Before deploying SageMaker, I reviewed the pricing, especially for notebook instances. The cost for small to medium instances is not very high.
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...
 

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
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