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Amazon SageMaker vs Microsoft Power BI comparison

The compared Amazon Web Services (AWS) and Microsoft solutions aren't in the same category. Amazon Web Services (AWS) is ranked #3 in Data Science Platforms , with an average rating of 8.0, and holds a 6.9% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 7.8, and holds a 21.4% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.
Amazon SageMaker
Read 37 Amazon SageMaker reviews
  • 5,661 Views
  • 4,573 Comparison Views
91% willing to recommend
Microsoft Power BI
Read 321 Microsoft Power BI reviews
  • 20,047 Views
  • 16,081 Comparison Views
93% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Amazon SageMaker and Microsoft Power BI based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms.

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Buyer's Guide
Data Science Platforms
May 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:
 

ROI

Sentiment score
7.3
Amazon SageMaker delivers high ROI by reducing costs and time, often providing returns multiple times the initial investment.
Sentiment score
7.9
Microsoft Power BI is cost-effective, user-friendly, and efficient, enhancing BI capabilities and saving time and money.
The return on investment varies by use case and offers significant value in revenue increases and cost saving capabilities, especially in real time fraud detection and targeted advertisements.
For more quotes and insights, download the Amazon SageMaker report
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Power BI is easy to deploy within an hour, providing robust security against data leaks.
For more quotes and insights, download the Microsoft Power BI report
reviewer1363764 - PeerSpot reviewer
MO
Shoury Priyanshu - PeerSpot reviewer
 

Customer Service

Sentiment score
7.2
Amazon SageMaker support is generally praised, but service quality varies; premium customers receive better, more responsive assistance.
Sentiment score
6.7
Microsoft Power BI customer service is responsive and effective, but users frequently rely on forums for quicker solutions.
The technical support from AWS is excellent.
The support is very good with well-trained engineers.
The response time is generally swift, usually within seven to eight hours.
For more quotes and insights, download the Amazon SageMaker report
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
The support is good because there is also a community available.
For more quotes and insights, download the Microsoft Power BI report
Hemant Paralkar - PeerSpot reviewerreviewer1363764 - PeerSpot reviewerSaurabh Jaiswal - PeerSpot reviewer
MO
James Balbach - PeerSpot reviewer
MH
 

Scalability Issues

Sentiment score
7.6
Amazon SageMaker offers scalability and adaptability across enterprises, but GPU limitations and user skills impact its overall efficiency.
Sentiment score
7.0
Microsoft Power BI is scalable, integrates well with Azure, but faces challenges with large datasets and concurrent users.
The availability of GPU instances can be a challenge, requiring proper planning.
It works very well with large data sets from one terabyte to fifty terabytes.
Amazon SageMaker is scalable and works well from an infrastructure perspective.
For more quotes and insights, download the Amazon SageMaker report
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
As more data is processed, performance issues may arise.
For more quotes and insights, download the Microsoft Power BI report
reviewer1363764 - PeerSpot reviewerSaurabh Jaiswal - PeerSpot reviewerHemant Paralkar - PeerSpot reviewerShoury Priyanshu - PeerSpot reviewerJames Balbach - PeerSpot reviewerRaymond De Rooij - PeerSpot reviewer
 

Stability Issues

Sentiment score
7.8
Amazon SageMaker is stable with high reliability, especially when properly configured, and minor glitches do not significantly impact performance.
Sentiment score
7.5
Microsoft Power BI is stable and reliable, excelling with smaller datasets but may need resources for larger ones.
There are issues, but they are easily detectable and fixable, with smooth error handling.
I rate the stability of Amazon SageMaker between seven and eight.
For more quotes and insights, download the Amazon SageMaker report
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
We typically do not have problems with end-user tools like Excel and Power BI.
It is very stable for small data, but with big data, there are performance challenges.
For more quotes and insights, download the Microsoft Power BI report
Saurabh Jaiswal - PeerSpot reviewerHemant Paralkar - PeerSpot reviewerShoury Priyanshu - PeerSpot reviewerJames Balbach - PeerSpot reviewer
MH
 

Room For Improvement

Users seek better pricing, interface, integration, documentation, AI, dataset support, security, serverless options, and AWS collaboration.
Microsoft Power BI faces criticism for Windows dependency, interface complexity, limited features, and challenges in integration and pricing.
Having all documentation easily accessible on the front page of SageMaker would be a great improvement.
This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background.
Integration of the latest machine learning models like the new Amazon LLM models could enhance its capabilities.
For more quotes and insights, download the Amazon SageMaker report
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Access was more logical in how it distinguished between data and its formatting.
Microsoft updates Power BI monthly based on user community feedback.
For more quotes and insights, download the Microsoft Power BI report
Syed Muhammad Noman Akhtar - PeerSpot reviewerHemant Paralkar - PeerSpot reviewerreviewer1363764 - PeerSpot reviewerShoury Priyanshu - PeerSpot reviewer
MO
James Balbach - PeerSpot reviewer
 

Setup Cost

Amazon SageMaker offers flexible, competitive pricing but can be costly, with value varying by user, plus available discounts.
Microsoft Power BI provides cost-effective pricing options, with plans ranging from free to $4,995 monthly, competing with Tableau and Cognos.
The cost for small to medium instances is not very high.
For a single user, prices might be high yet could be cheaper for user-managed services compared to AWS-managed services.
The pricing can be up to eight or nine out of ten, making it more expensive than some cloud alternatives yet more economical than on-premises setups.
For more quotes and insights, download the Amazon SageMaker report
I found the setup cost to be expensive
Power BI isn't very cheap, however, it is economical compared to other solutions available.
The pricing for Microsoft Power BI is low, which is a good selling point.
For more quotes and insights, download the Microsoft Power BI report
Syed Muhammad Noman Akhtar - PeerSpot reviewerHemant Paralkar - PeerSpot reviewerreviewer1363764 - PeerSpot reviewer
ST
Shoury Priyanshu - PeerSpot reviewer
MH
 

Valuable Features

Amazon SageMaker offers comprehensive tools for end-to-end machine learning, including model deployment, scalability, and user-friendly features.
Power BI offers seamless Microsoft integration, data visualization, and self-service tools, enhancing data-driven decisions with flexibility and affordability.
SageMaker supports building, training, and deploying AI models from scratch, which is crucial for my ML project.
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.
For more quotes and insights, download the Amazon SageMaker report
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
The solution makes it easy for me to develop reports and publish them.
For more quotes and insights, download the Microsoft Power BI report
Syed Muhammad Noman Akhtar - PeerSpot reviewerMaxwell Seefeld - PeerSpot reviewerreviewer1363764 - PeerSpot reviewer
MO
Raymond De Rooij - PeerSpot reviewer
ST
 

Categories and Ranking

Amazon SageMaker
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
37
Ranking in other categories
Data Science Platforms (3rd), AI Development Platforms (5th)
Microsoft Power BI
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
321
Ranking in other categories
BI (Business Intelligence) Tools (1st), Reporting (1st)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Amazon SageMaker is designed for Data Science Platforms and holds a mindshare of 6.9%, down 9.7% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 21.4% mindshare, down 22.2% since last year.
Data Science Platforms
BI (Business Intelligence) Tools
 

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
James Balbach - PeerSpot reviewer
Robust system consistently elevates data visualization and seamlessly updates with user-driven advancements
Power BI is a general-use visualization system. I can express the performance of our network through high-level key performance indicators. It allows me to show detailed improvements in quality and safety and patient experience. I create improvement dashboards for task forces and work teams. I have built analytic dashboards that guide analytics, enabling research and dataset manipulation.
Read full review
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Comparison Review

it_user79932 - PeerSpot reviewer
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
Read full review
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Educational Organization
11%
Computer Software Company
11%
Manufacturing Company
8%
Educational Organization
39%
Financial Services Firm
8%
Computer Software Company
6%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
Before deploying SageMaker, I reviewed the pricing, especially for notebook instances. The cost for small to medium instances is not very high.
See all answers
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
See all answers
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance po...
See all answers
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle ...
See all answers
 

Comparisons

Databricks vs Amazon SageMaker Logo
Databricks vs Amazon SageMaker
Compared 15% of the time
Azure OpenAI vs Amazon SageMaker Logo
Azure OpenAI vs Amazon SageMaker
Compared 12% of the time
Dataiku vs Amazon SageMaker Logo
Dataiku vs Amazon SageMaker
Compared 11% of the time
Google Vertex AI vs Amazon SageMaker Logo
Google Vertex AI vs Amazon SageMaker
Compared 8% of the time
Domino Data Science Platform vs Amazon SageMaker Logo
Domino Data Science Platform vs Amazon SageMaker
Compared 7% of the time
More Amazon SageMaker Competitors
Tableau vs Microsoft Power BI Logo
Tableau vs Microsoft Power BI
Compared 14% of the time
Domo vs Microsoft Power BI Logo
Domo vs Microsoft Power BI
Compared 8% of the time
Databricks vs Microsoft Power BI Logo
Databricks vs Microsoft Power BI
Compared 8% of the time
Amazon QuickSight vs Microsoft Power BI Logo
Amazon QuickSight vs Microsoft Power BI
Compared 8% of the time
KNIME vs Microsoft Power BI Logo
KNIME vs Microsoft Power BI
Compared 5% of the time
More Microsoft Power BI Competitors
 

Product Reports

Buyer's Guide
Amazon SageMaker
May 2025
Amazon SageMaker reportDownload Amazon SageMaker product report
Buyer's Guide
Microsoft Power BI
April 2025
Microsoft Power BI reportDownload Microsoft Power BI product report
 

Also Known As

AWS SageMaker, SageMaker
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
 

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)

Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.

Microsoft
 

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
Buyer's Guide
Data Science Platforms
May 2025
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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.