We performed a comparison between Microsoft Power BI and Oracle Analytics Cloud 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."Power BI, once made available, can connect to various data sources, irrespective of the application, whether it be HR or business applications. The bank has many applications, but all eventually need to generate reports for tracking, distribution, or problem-finding based on analysis. Power BI was made available as part of the productivity suite to all businesses, which can connect to their applications and provide the reports and analysis they require."
"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."
"The solution is stable."
"We have found that the reporting and publishing are great."
"The most valuable feature would be the abundance of connectors. It is also easy to use."
"The solution is very easy to use."
"In my experience the scalability is good. You are able to increase users and add more data."
"Good CS and administration."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"This is a stable and scalable solution."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The technical support services are good."
"The ability to quickly search for and access relevant data is crucial."
"If you look at the new tool, even though they promised that you could do data modeling, that you could do everything from the Power BI side, if your data is really large in volume, sometimes it doesn't work on the Power BI. More feature testing from their side would certainly help users."
"The reporting could be a bit better."
"The one thing that I noticed specifically was the graphical features, and some of the analytical features. They were stronger on the Tableau side."
"The handling of the workspaces can be made more granular for user access rights. It can be managed a little bit better in terms of the connection to Active Directory so that we have more granular access rights. I am not sure if this is really possible or if we can solve it differently, but we need a lot of workspaces, and we are not sure how we can deal with it from the access rights perspective."
"The solution could be quicker at rendering data."
"Adding paginated reports to this tool could be of great help for users who want to move away from SSRS."
"I would like to see integration with Excel."
"Lacks the ability to copy data from BI into PowerPoint."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"The price of the solution could be lower."
"The scalability has room for improvement."
"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."
"It is less scalable than Snowflake."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. Microsoft Power BI is rated 8.0, while Oracle Analytics Cloud is rated 8.0. 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 Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Oracle Business Intelligence Cloud Service and SAP Analytics Cloud. See our Microsoft Power BI vs. Oracle Analytics Cloud report.
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