We performed a comparison between Microsoft Power BI and Salesforce Einstein Analytics based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's user-friendly and provides data abstracting capabilities. We are also able to share reports with our colleagues very easily."
"It is a powerful tool that helps our data analysis processes."
"The dashboards of Microsoft BI are easy to use."
"Power BI is more powerful than other tools because it is new for us. Each new version has more capabilities, and we're expecting AI and ML features in the next version."
"The solution's initial setup isn't too complicated."
"It is good for us for onboarding the data. We can connect to multiple data sources, do transformations to make the data usable, and then model it within the transformation. Someone who has come from a Microsoft Excel environment will easily be able to use this solution. Power query and report modeling are easy to understand in this solution. Their technical support is very good. They are extremely responsive, helpful, and hands-on."
"I like Microsoft BI's drill-down feature and its overall ease of use."
"I like how the Query Editor lets me manipulate the data, and the available visuals are good. You can do everything using the UI."
"The solution scales extremely well."
"The tool is a cloud-based solution capable of integrating any kind of data in the world."
"The most valuable feature of Salesforce Einstein Analytics is the reporting tools."
"Transparency is the most valuable feature of this solution."
"The most valuable features of Salesforce Einstein Analytics are the flexibility around the deployment, overall capabilities, user-friendliness, and interactiveness with the tools that came built with it."
"The out-of-the-box features are good for companies that want to try analytics and data science interventions."
"It's scalable."
"We have found the scalability to be very good."
"Trend data and dashboards need improvement."
"Areas for improvement would be the construction of reports and the dashboard budget."
"In the future, Microsoft BI can be better by increasing user-friendliness"
"Its price could be better. Its licensing cost is very high."
"The integration in Microsoft BI could improve for other solutions, such as Oracle DB and PostgresSQL. Additionally, the reporting from the databases to Microsoft BI should be in real-time and the overall performance could be better."
"Things can slow down if you create too many pages."
"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."
"I am taking a course to be able to use the solution better. Some aspects of the solution are not straightforward."
"The tool needs to simplify its features."
"I would advise others not to customize because they rolled out the newer versions, which are every six months. There had to be some significant testing and verification that happened. It is important to have a strong third-party provider that is very experienced. We used Deloitte, but we evaluated Accenture, KPMG, and IBM, but we decided on Deloitte and that was a good decision for us. Having a partner who has a center of excellence or experts that could give you a lot of the tips that they've learned could jumpstart your deployment and stick to the standards."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"They can provide more end-user customizations. There should be the possibility for the end-users to change some elements in the interface. I have a way of doing my job. My colleague may have his own way of doing his job. If I ask for a change, it'll change for everyone. It'll be good to have some end-user personalizations. I can't see many in Salesforce right now."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
"The price of Salesforce Einstein Analytics is quite a bit expensive for the region of Mexico. I think the price of the product could be better."
"The product is expensive."
"The product is natively integrated into the Salesforce ecosystem. You also need a CRM license. It should be more flexible with other platforms."
More Salesforce Einstein Analytics Pricing and Cost Advice →
Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while Salesforce Einstein Analytics is ranked 12th in BI (Business Intelligence) Tools with 18 reviews. Microsoft Power BI is rated 8.0, while Salesforce Einstein Analytics is rated 8.2. 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)". On the other hand, the top reviewer of Salesforce Einstein Analytics writes "Helpful consistent measurements, high availability, and scales well". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Sisense, whereas Salesforce Einstein Analytics is most compared with Tableau, Databricks, SAP Analytics Cloud, IBM Watson Explorer and Qlik Sense. See our Microsoft Power BI vs. Salesforce Einstein Analytics report.
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