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."Its ease of use is most valuable."
"Microsoft BI is very easy to set up and use."
"The stability is great and continues to get better and better."
"There is a feature in Microsoft BI that allows JSON data to SQL on the dashboards effectively and quickly."
"The sharing features are vital, especially the ability to share and test different shared dashboards."
"With Power BI, you're able to store your data within spreadsheets and SharePoints, and then have Power BI pull the data out and report on it. So we actually saved a ton of money not needing to load the data into databases, which is a big prerequisite for many other reporting tools."
"We like the drag and drop interactability visualization. We really like that. It's user-friendly."
"We find the solution offers good stability."
"The product is easily customized."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The technical support services are good."
"The solution doesn't integrate well with third-party tools."
"Defining a relationship was very confusing. There were circular directions for which I had to do a lot of adjustments in the data. They can do something to make it easier."
"I have to write scripts to query data for analyzing performance."
"This solution needs integration with SAS and more deep analysis functionality."
"The Power Query feature needs to be improved to handle large amounts of data. This feature is also slow for large data transfers making it better to use some kind of script."
"Microsoft needs to provide more drivers to connect other data sources in a native way."
"One of the more difficult things to do is to export some of the data from Power BI to Excel."
"It should be more user-friendly and simple."
"The solution could be more flexible."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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 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."
"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
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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