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."The solution is easy to use and flexible."
"The standard BI visualization capabilities are great."
"The product is user-friendly."
"It's a straightforward setup."
"The virtualization of Microsoft BI is very good."
"There is a lot of variety in Power BI. In particular, the visuals are quite rich and the feature set has been growing rapidly in the last two years. Possibly the best part for me is that there are a lot of ways to connect with data sources."
"I liked that Microsoft Power BI handles a large amount of data. I can handle hundreds of rows from Postgres in a few minutes. I also like how it detects the relationship between the tables without explicitly saying that. It just detects the relationship automatically. That made it easier to work with the data."
"Because this solution is very easy, and very visual, you can have results in minutes."
"The fact that the solution is visually appealing because of its lightning interfaces can be considered one of its most valuable features"
"Einstein Analytics provides insights into what we are doing and how we are doing it. It tells us what benchmarks we need to hit consistently to achieve our goals. In sales, there is sometimes a disconnect between actions and objectives. We aren't necessarily going to close a deal because we call X number of people. There are some underlying skills that add nuance to these metrics."
"The solution scales extremely well."
"he most valuable feature of the solution is its ease of use."
"The tool is a cloud-based solution capable of integrating any kind of data in the world."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"It's scalable."
"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 look is simple, and could be a little more professional."
"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."
"Areas of Power BI that could be improved are the learning curve for developers who come from non-technical backgrounds."
"It has come a long way in terms of how it was working two years ago, but there are some things that you still can't do with it. For example, permission management and user access management are still a bit limited. It is basically based on the idea that everybody from the organization can see everything or limit the type of data they can see. If I want you to see only one report and the other guy to see another report, I can't do it. There should be a better way to manage permissions and users. It should also support external users much better."
"I would like Microsoft to include some inbuilt machine learning so that it becomes point-and-click, rather than us developing models out of API and BI connecting to that and getting the results. That process gets in the way of continuity."
"It's quite difficult to learn how to use Power BI."
"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."
"Its setup and support should be improved. We would like to see more material for developers that provides clear explanations about how we can do data mining by using Microsoft BI. It would also be good if we can connect a feature to other customized machine learning solutions."
"All of the timesheets and appraisal management I have not been happy with. There should be some improvements. For example, as a management team, our managers do not have access to see a summary report, such as who is on leave today or how many hours each person logged in. You have to get into individual users and see. You cannot see a summary report, the reporting is missing. There should improve the reports."
"The product is natively integrated into the Salesforce ecosystem. You also need a CRM license. It should be more flexible with other platforms."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"The tool needs to simplify its features."
"The product is expensive."
"The product must be more transparent."
"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."
"There are some offerings like Sales Cloud, Service Cloud, and Marketing Cloud that have very useful online learning options. There need to be more avenues for self-learning with this particular solution. That would be useful."
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Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while Salesforce Einstein Analytics is ranked 11th 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 Qlik Sense, 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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