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."Technical support is quite good."
"The solution is stable with reasonable performance."
"The solution is easy to use and charts can be built quickly with the tools."
"In contrast to what we were using before I think that Power BI has given us more extensive results."
"Microsoft BI's most valuable features are the user interface, which is easy to use and light."
"Easy to use and the visualization is valuable."
"Implementation is very quick and the solution is very user-friendly."
"Good CS and administration."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The advanced calculations by the tool are highly effective"
"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."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The solution can scale."
"A valuable feature is the speed of the solution."
"The most valuable features of the solution are dashboarding and data visualization."
"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."
"It is kept very current, and there is an update literally every month. However, the interface changes quite randomly with no documentation, which is difficult at the domain and architectural level where you're planning things and engaging the business. Things change frequently, and you wonder where has the button for the new report gone. They should provide better documentation on interface changes. It should be better optimized. It is supposed to be a data integration tool, but it is doing relatively simple queries. It has its limitations. For example, you can only pull a number of columns. So, there is room for optimization on its ability to integrate multiple data sources. The desktop tool is very memory-intensive, and again, this is not documented clearly. It requires a heavy CPU and memory use, and it causes your operating systems to become unstable. I would like to see the ability to create datasets within Power BI. Microsoft is promoting Azure as a cloud solution, but it is dependent upon a desktop component, which seems a little bit deceptive. Data set is the basic element that you report from, but it has to be created on the desktop and then published to the cloud. So, you're in the cloud, and you create a data structure or the data flow, but you can't report from that. You have to leave the cloud, go to your desktop, create the data set on your desktop, and publish it to the cloud. You go back to the cloud and create your report by using that published data set, which is very non-intuitive. If you go to the Microsoft Power BI community, this is a common complaint across the entire community."
"I would like for the next release to have better desktop performance, especially for big databases. Additionally, I would like to have more integrations with programs like Salesforce in order to get more live data coming in."
"I would like to see a more user-friendly interface with Microsoft BI."
"Microsoft Power BI can be confusing, because it has two languages that you need to learn if you want to use it, and this makes it more difficult for nontechnical users."
"The formatting template could be improved."
"I would like for there to be some type of user manual that shows steps on how to navigate the solution."
"It seems that the solution could use more analytics to help users draw more contextual business insights. Right now, you need other solutions for that."
"It should have more integrations."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"They could improve the ease of developing the dashboard and interacting with it."
"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."
"Its FAW feature has limitations in terms of usage."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."
"This solution could be more adaptable in its application."
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 25 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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