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."It's user-friendly and provides data abstracting capabilities. We are also able to share reports with our colleagues very easily."
"If you are not very technical this tool could be very useful."
"It has provided customer purchase patterns and great visualization."
"It works well with SSAS, which we use to generate all different kinds of trending and analytics reports. Sometimes we use Power Query and DAX to build some aggregations on the Power BI side as well."
"The most valuable feature of Power BI is its ability to provide customized visualizations and insights tailored to specific business needs."
"We have found the solution to be stable."
"It is very well integrated with other Microsoft products, including PowerApps and Excel, as well as Access, so it fits well into our workflow."
"The stability is good."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"A valuable feature is the speed of the solution."
"It has the best feature for data augmentation."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The most valuable features of the solution are dashboarding and data visualization."
"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
"The technical support is excellent, and they respond quickly."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The UI looks awkward once the graphs have been generated in the console. This is what Microsoft can work on."
"Power BI could have better metadata management. It's easy to use for a single person. However, it lacks an enterprise-grade metadata management system, which can be a problem if you're doing an enterprise deployment with multiple users."
"We would like it if they added more Python libraries in the Power BI service. For Power BI service right now, you can use Python, but it is limited to a few libraries or a few packages from Python."
"Integration with products that are not Microsoft could be more improved."
"The setup took a lot of tinkering with InfoSec to allow us to do stuff."
"They can provide a user-friendly and easy way to use this tool for people who don't know about programming or technical things. It will be quite good if they can improve the look and feel and make it simpler to operate. They can make it easier to create some of the reports. They can also include predefined templates that you can directly use."
"Powerpoints are not available in the report server."
"I would prefer that the solution not be shared. I'm concerned that if we make a mistake we could reveal information to people who shouldn't see it. I would like to have my own on-prem server, to buy my own server and have my own infrastructure for Microsoft BI, with only with my data."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
"It is less scalable than Snowflake."
"It is expensive."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The product could benefit from increased flexibility compared to other vendors."
"The price of the solution could be lower."
"Its FAW feature has limitations in terms of usage."
"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."
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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