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 #5 in Data Science Platforms , with an average rating of 7.6, and holds a 7.7% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 7.9, and holds a 23.0% mindshare. Additionally, 89% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

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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, Microsoft and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: November 2024).

Buyer's Guide

Data Science Platforms

November 2024

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

Data Science Platforms

BI (Business Intelligence) Tools

Featured Reviews

AbakarAhmat

Software Engineer at a university with 10,001+ employees

Enhancing survey analysis that provides valued insightfulness

I used traditional tools where I would prepare data, click through menus, and use SQL Server for data visualization. We switched to IBM SPSS because it offers strong certification and aligns well with the standards we prioritize in our surveys. In terms of popularity, it stands out as the top choice in the market, especially in the research and university domains. Many different organizations and institutions use SPSS for statistical analytics. While there are other tools like MCLab and similar options available, SPSS is the most renowned and widely used among them.

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Natu Lauchande

Tech Lead - Sanlam Fintech Cluster - Data,ML,AI Eng. at Sanlam

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.

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Amol Rane

Solutions Architect M365 at Sogeti UK

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.

Read full review

Quotes from Members

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

Pros

"It is perfectly adequate if all you need are the results and not the trail of evidence."

"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."

"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 feature is the user interface because you don't need to write code."

"It offers very good visualization."

"The most valuable features are the small learning curve and its ability to hold a lot of data."

"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."

More IBM SPSS Statistics pros

"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."

"The most valuable feature of Amazon SageMaker for me is the model deployment service."

"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."

"The few projects we have done have been promising."

"Amazon SageMaker is highly valuable for managing ML workloads. It connects to AWS cloud resources, making it easy to deploy algorithms and collaborate using tools like GitLab. It offers a wide range of Python libraries and other necessary tools for modelling and algorithms."

"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."

"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."

"They are doing a good job of evolving."

More Amazon SageMaker pros

"The solution is easy to set up and implement."

"Allows business users with a mission to solve their own problems, without an IT person."

"The most valuable feature is definitely the visual aspect and the DAX capabilities to virtually do anything."

"It is stable enough. It has a lot of powerful functions. It can also be customized with the DAX language. It is also intuitive enough and incremental. You can start with something simple, and then step-by-step, you can increase the reports and dashboards according to your needs."

"Power BI's integration with other tools is very good."

"Technical support has been great."

"Technical support is quite good."

"Real-time refresh is quite interesting and user-friendly, provided you have access to a gateway. It works well."

More Microsoft Power BI pros

Cons

"Better documentation on how to use macros."

"This solution is not suitable for use with Big Data."

"The solution needs to improve forecasting using time series analysis."

"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."

"The statistics should be more self-explanatory with detailed automated reports."

"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."

"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."

"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."

More IBM SPSS Statistics cons

"The solution is complex to use."

"I had to create custom templates for labeling multi-data sets, such as text and images, which was time-consuming."

"The solution requires a lot of data to train the model."

"Amazon might need to emphasize its capabilities in generative models more effectively."

"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."

"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."

"In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints."

"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."

More Amazon SageMaker cons

"At times, I feel that the system needs improvement in single sign-on, especially for the on-premises side of the tool."

"It is definitely a wonderful analytics tool. However, database ETL, data integration functionality would be absolutely perfect in many cases. Currently, it doesn't get the job done and we need to extract, transform, and load the data from faulty data sets into something more suitable for the deployment of the analytics tool."

"It should be more scalable for an enterprise-level implementation. When you deploy large data sets, the response has to be faster in Power BI. This is one thing that needs to be improved in it."

"Integrating it with the physics build model or the engineering model should be included."

"Licensing could be improved."

"Power BI doesn't support some open-source data sources that are new, such as SnowSQL, Iceberg, or ClickHouse."

"Microsoft has got a very large repository of all change suggestions which have been raised by the BI community. They keep on adding features that are very widely sought after by the community. We don't focus on product features. We focus on business requirements. To use the solution, we find that existing features are good enough and offer us a very effective solution."

"The challenge of this product is in truncating the table data."

More Microsoft Power BI cons

Pricing and Cost Advice

"More affordable training for new staff members."

"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."

"It's quite expensive, but they do a special deal for universities."

"The price of IBM SPSS Statistics could improve."

"I rate the tool's pricing a five out of ten."

"The price of this solution is a little bit high, which was a problem for my company."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"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."

More IBM SPSS Statistics pricing and cost advice

"SageMaker is worth the money for our use case."

"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."

"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."

"Amazon SageMaker is a very expensive product."

"You don't pay for Sagemaker. You only pay for the compute instances in your storage."

"The pricing could be better, especially for querying. The per-query model feels expensive."

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

"The tool's pricing is reasonable."

More Amazon SageMaker pricing and cost advice

"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."

"I'm not very familiar with the licensing aspect, as it operates in the cloud as a SaaS (Software as a Service) model. Essentially, you pay based on cloud cost models, which might include hourly rates or similar billing structures introduced by Microsoft. Many organizations utilize it and pay for its services, somewhat like Office 365. It's a cloud-based platform that provides the necessary services, including support, for development, and you pay accordingly for the usage."

"You don't need a license for development, but if you want to publish to external users, you need a license. The licensing is very costly, but I think that since the advantages and benefits of Power BI are so high, people are willing to pay. I can't blame them."

"Setup is easy, and the cost is economical. You do sometimes need to pay additional costs for third party products which "plug-in" to Microsoft BI."

"I would rate them 4 out of 5 for their current pricing. There are no additional costs to the standard licensing fees."

"Microsoft BI for desktop is free to use, and you can download and use it."

"The solution is priced well for what they offer. However, the premium version is very expensive."

"We pay for users who are publishing on the cloud. The desktop version is free. Its licensing is on a yearly basis."

More Microsoft Power BI pricing and cost advice

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Comparison Review

it_user79932

Senior Manager - BI Head at NVidia

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

17%

University

Computer Software Company

Manufacturing Company

Financial Services Firm

18%

Educational Organization

14%

Computer Software Company

11%

Manufacturing Company

Educational Organization

41%

Financial Services Firm

Computer Software Company

Manufacturing Company

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.

See all answers

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...

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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...

See all answers

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...

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 Cha...

See all answers

What is your experience regarding pricing and costs for Amazon SageMaker?

The pricing is based on usage, and I find it reasonable for what we use it for.

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 wou...

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 info...

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 ...

See all answers

Comparisons

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 14% of the time

Alteryx vs IBM SPSS Statistics

Compared 14% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 12% of the time

SAS Analytics vs IBM SPSS Statistics

Compared 4% of the time

More IBM SPSS Statistics Competitors

Databricks vs Amazon SageMaker

Compared 27% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Google Vertex AI vs Amazon SageMaker

Compared 11% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

Dataiku vs Amazon SageMaker

Compared 6% of the time

More Amazon SageMaker Competitors

Tableau vs Microsoft Power BI

Compared 17% of the time

Domo vs Microsoft Power BI

Compared 10% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 8% of the time

KNIME vs Microsoft Power BI

Compared 6% of the time

Databricks vs Microsoft Power BI

Compared 5% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

November 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Amazon SageMaker

November 2024

Download Amazon SageMaker product report

Buyer's Guide

Microsoft Power BI

November 2024

Download Microsoft Power BI product report

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

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IBM

Amazon Web Services (AWS)

Microsoft

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

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.

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.

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

Buyer's Guide

Data Science Platforms

November 2024

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