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Amazon SageMaker vs OpenVINO comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

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
36
Ranking in other categories
Data Science Platforms (3rd)
OpenVINO
Ranking in AI Development Platforms
14th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the AI Development Platforms category, the mindshare of Amazon SageMaker is 5.6%, down from 8.6% compared to the previous year. The mindshare of OpenVINO is 1.6%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

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.
Mahender Reddy Pokala - PeerSpot reviewer
Improved model deployment on edge devices, but compatibility and scalability present challenges
I found OpenVINO ( /products/openvino-reviews )'s ability to convert custom models into its format particularly beneficial, as businesses sometimes require unique models specific to their use cases. Utilizing OpenVINO allowed me to run these custom models on devices directly, which I found quite impressive. Additionally, the Model Zoo offered by OpenVINO added value to the product.

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."
"The few projects we have done have been promising."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"The most valuable feature of Amazon SageMaker for me is the model deployment service."
"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."
"The support is very good with well-trained engineers whose training curriculum is rigorous."
"They offer insights into everyone making calls in my organization."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"The inferencing and processing capabilities are quite beneficial for our requirements."
"The runtime of OpenVINO is highly valuable for running different computer vision models."
"The initial setup is quite simple."
"Intel's support team is very good."
"The features for model comparison, the feature for model testing, evaluation, and deployment are very nice. It can work almost with all the models."
 

Cons

"The solution needs to be cheaper since it now charges per document for extraction."
"Lacking in some machine learning pipelines."
"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"The solution requires a lot of data to train the model."
"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 had to create custom templates for labeling multi-data sets, such as text and images, which was time-consuming."
"The main challenge with Amazon SageMaker is the integrations."
"The model optimization is a little bit slow — it could be improved."
"Scalability is a challenge with OpenVINO, particularly when I try to connect multiple streams of input or run multiple edge devices consecutively."
"At this point, the product could probably just use a greater integration with more machine learning model tools."
"It has some disadvantages because when you're working with very complex models, neural networks if OpenVINO cannot convert them automatically and you have to do a custom layer and later add it to the model. It is difficult."
"It would be great if OpenVINO could convert new models into its format more quickly."
 

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."
"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."
"Amazon SageMaker is a very expensive product."
"I would rate the solution's price a ten out of ten since it is very high."
"The solution is relatively cheaper."
"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."
"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."
"We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Educational Organization
11%
Computer Software Company
11%
Manufacturing Company
9%
Manufacturing Company
42%
Computer Software Company
8%
University
7%
Financial Services Firm
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 OpenVINO?
The OpenVINO software itself is open source and not priced. However, I found edge devices, such as cameras, can be somewhat expensive, around $150.
What needs improvement with OpenVINO?
One improvement could be making OpenVINO less dependent on Intel-based processing chips. Expanding cross-platform compatibility, allowing it to work beyond Intel and its edge devices, would be bene...
What is your primary use case for OpenVINO?
I used OpenVINO ( /products/openvino-reviews ) for almost three years, starting in 2020. My initial use case involved attempting to connect or run models using quantization within cameras as edge d...
 

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
Find out what your peers are saying about Amazon SageMaker vs. OpenVINO and other solutions. Updated: April 2025.
848,989 professionals have used our research since 2012.