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Amazon SageMaker vs Microsoft Power BI comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
37
Ranking in other categories
Data Mining (3rd), Data Science Platforms (9th)
Amazon SageMaker
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
32
Ranking in other categories
Data Science Platforms (3rd), AI Development Platforms (4th)
Microsoft Power BI
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
315
Ranking in other categories
BI (Business Intelligence) Tools (1st), Reporting (1st)
 

Mindshare comparison

Data Science Platforms
BI (Business Intelligence) Tools
 

Featured Reviews

Md Masudul Hassan - PeerSpot reviewer
Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts
I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.
Natu Lauchande - PeerSpot reviewer
Easy to use and manage, but the documentation does not have a lot of information
SageMaker Studio sounds very interesting. Feature Store and data pipeline features are very interesting. The product is a one-stop shop. It allows people without much engineering knowledge to try out and deploy models in environments similar to the production environments. The tool makes our ML model development a bit more efficient because everything is in one environment. It is easy to manage compared to when things were in different components of AWS. Amazon SageMaker is in AWS, so I need not pay two bills. It is one less system to manage, so it is easier.
Amol Rane - PeerSpot reviewer
Supports AI initiatives in terms of predictive analytics
The only issue is with permissions. Sometimes, despite granting granular permissions, dashboards are visible to people who shouldn't have access. It's difficult to understand why the permissions slip out. Sometimes dashboards are visible to stakeholders even though they should not have permission. It's a bit difficult to understand why the permissions slip out. The dashboards lack a user-friendly appearance, and the permissions should be easier to understand. At this point, we have to go through a lot of details. It takes a lot of time to understand the permissions, so if there were better options available within the Power BI setup, it would be quite beneficial, especially for admins. So, there should be a more user-friendly dashboard appearance and easier-to-understand permissions.

Quotes from Members

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

Pros

"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."
"It offers very good visualization."
"It is perfectly adequate if all you need are the results and not the trail of evidence."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"The deployment is very good, where you only need to press a few buttons."
"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 most valuable feature of Amazon SageMaker for me is the model deployment service."
"The tool makes our ML model development a bit more efficient because everything is in one environment."
"SageMaker is a comprehensive platform where I can perform all machine learning activities."
"The solution is easy to use."
"The scalability overall has been quite good."
"The solution is easy to use and charts can be built quickly with the tools."
"The sharing features are vital, especially the ability to share and test different shared dashboards."
"What I liked most about the tool is that we can use text queries to create projects and modify columns according to our needs. There are hundreds of YouTube courses on how to use it."
"The most valuable feature of the solution is that it is an easy-to-use tool."
"The solution is very intuitive, you do not need to have too much programming knowledge to use it. Advanced Excel users can use it very easily."
"Users already using Excel can generate new reports and dashboards within minutes."
 

Cons

"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"The statistics should be more self-explanatory with detailed automated reports."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"IBM SPSS Statistics does not keep you close to your data like KNIME."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."
"The solution requires a lot of data to train the model."
"Amazon SageMaker can make it simpler to manage the data flow from start to finish, such as by integrating data, usingthe machine, and deploying models. This process could be more user-friendly compared to other tools. I would also like to improve integration with Bedrock and the LLM connection for AWS."
"The solution is complex to use."
"The documentation must be made clearer and more user-friendly."
"SageMaker would be improved with the addition of reporting services."
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"Amazon might need to emphasize its capabilities in generative models more effectively."
"It needs a wizard that covers all its options."
"I found data cleaning in the solution to be quite difficult. If I could add a feature, I'd include Excel's Flash Fill function. This allows you to set a formula for one row and column and automatically apply it to thousands of rows, making data sorting much easier."
"I would like for there to be some type of user manual that shows steps on how to navigate the solution."
"I have found using Microsoft BI is not easy. For example, trying to use the auto-refresh feature is not simple."
"Whenever you work on the same dashboard or on the same code, Microsoft Power BI doesn't have a good architecture that allows multiple people to work on the same project."
"I think that the solution is harder to use for people who are not experts in data."
"SQL Server Reporting Services (SSRS) is not user friendly."
"​It needs more analytic tools."
 

Pricing and Cost Advice

"We think that IBM SPSS is expensive for this function."
"It's quite expensive, but they do a special deal for universities."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"More affordable training for new staff members."
"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."
"I rate the tool's pricing a five out of ten."
"Amazon SageMaker is a very expensive product."
"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."
"On average, customers pay about $300,000 USD per month."
"You don't pay for Sagemaker. You only pay for the compute instances in your storage."
"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."
"I would rate the solution's price a ten out of ten since it is very high."
"The support costs are 10% of the Amazon fees and it comes by default."
"SageMaker is worth the money for our use case."
"The cost of the solution is more flexible for us because the desktop is free and we pay as we use it in the cloud."
"Its price is very low. It is like $10 per user, per month. The clients pay for their own licenses. It is not on us. There are no costs in addition to the standard licensing fees. That's the beauty. With other systems, you need to spend a couple of thousand dollars just to get started, and then you need to spend $500 per year for the license, which becomes much more costly. You have a system here where for $120 to $140 a year, you can start with two people and start developing and deploying. You can see why the cost difference is huge, especially when you are on a low scale, like us, and you're not building something very huge."
"Microsoft BI is considered to be competitively priced when compared to other similar solutions in the market."
"I am satisfied with its price. Its price is very less as compared to Tableau and QlikView."
"It is reasonably priced."
"The price of Microsoft BI is reasonable. Other solutions such as SAP Cloud are more expensive."
"Remove the cost of a licence to show a dashboard within SharePoint. Why should readers of a dashboard have to pay to view? ​"
"Microsoft BI is not expensive."
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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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
9%
University
8%
Manufacturing Company
8%
Financial Services Firm
18%
Educational Organization
14%
Computer Software Company
11%
Manufacturing Company
9%
Educational Organization
42%
Financial Services Firm
8%
Computer Software Company
6%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...
What needs improvement with IBM SPSS Statistics?
IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...
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 designe...
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 Cha...
What is your experience regarding pricing and costs for Amazon SageMaker?
Pricing is rated as a six, which is slightly more expensive compared to the budget yet adequate for the capabilities ...
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 wou...
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 info...
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 ...
 

Also Known As

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

Learn More

 

Overview

 

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
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
Find out what your peers are saying about Databricks, Knime, Amazon Web Services (AWS) and others in Data Science Platforms. Updated: December 2024.
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