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, Microsoft, Alteryx and others in Data Science Platforms."The most valuable feature of Amazon SageMaker for me is the model deployment service."
"The few projects we have done have been promising."
"We were able to use the product to automate processes."
"The deployment is very good, where you only need to press a few buttons."
"We've had no problems with SageMaker's stability."
"Allows you to create API endpoints."
"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"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."
"Tech support is very helpful."
"In contrast to what we were using before I think that Power BI has given us more extensive results."
"The feature I find most valuable is the ability to publish Power Bi reports, using an embedded link, directly onto a website."
"Power BI stands out because it provides considerable flexibility in creating reports, dashboards, and various types of analytics to meet those dynamic requirements. It is lightweight and easy to use with good support."
"I like that I can use Power BI to upload data. That is very important for me. The visualization is also convenient and easy to use."
"Microsoft BI is better than most solutions we have. It's pretty easy to conduct analysis with it."
"Power BI has strong support from Microsoft. If you need help, they answer promptly. There are also several discussion groups where you can get information, like the product roadmap and any new things coming up."
"In the early stage of an implementation, it not only helps decision making, but it allows people to have insight into problems with data so that they can go and get it corrected."
"The solution needs to be cheaper since it now charges per document for extraction."
"There are other better solutions for large data, such as Databricks."
"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."
"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."
"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier."
"The solution is complex to use."
"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."
"Microsoft should offer additional features for visualization and have additional features for slicing and dicing that data."
"From a scalability and performance perspective and based on my understanding and feedback from end users, there's room for improvement in data processing, scaling up, and leveraging the cloud. That could be an enhancement area for me to look into."
"I think that the solution is harder to use for people who are not experts in data."
"It needs an AI which can choose the appropriate connection strings and provide options for connections."
"Automation could be improved and performance enhanced."
"There could be an integrated AI that can automatically analyze some of your data and highlight or provide suggestions. For example, when you are looking at a data set, it can suggest putting it into a certain type of chart so that you gain different insights or a trend line. You would almost have templates that it would recommend for you."
"Lacks the ability to copy data from BI into PowerPoint."
"The solution could improve by having more attractive graphical charts."
Amazon SageMaker is ranked 5th in Data Science Platforms with 18 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. Amazon SageMaker is rated 7.2, while Microsoft Power BI is rated 8.0. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.
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.
