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."Other people can access data much more easily than before. Its usability is the main advantage, people in the company are using it."
"The product is easy to use and simple to navigate."
"Easy to use. End-users can make changes to the graphics."
"Initial setup was very straightforward. Users can get up and running reporting on databases within minutes."
"The solution is easy to use."
"The solution overall is very useful. The reports that are generated and the reporting functionality management are beneficial."
"The most valuable features are the easy creation of reports, dashboards, and the ability to perform analysis. It is important for us to create reports because we have some operations during certain hours and we can use this tool to track the information."
"ou can pull reports, visualize them in real-time, and connect them to a variety of other data sources."
"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."
"The ability to quickly search for and access relevant data is crucial."
"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."
"The product is easily customized."
"The solution is user-friendly."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The technical support services are good."
"Right now, their premium pricing is keeping us out of the premium market. The premium price per user just doesn't make sense for us, but we haven't reached the limit of 500 users to justify the premium."
"The integration with third-party products could be more stable."
"I would like to see some AI incorporated into this solution in the future."
"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."
"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."
"There are certain features that are only available in the cloud version. It would be beneficial if they could be brought down to the on-premise version without the necessity of using the enterprise SQL database, as that can be very costly. We need more cost-effective features that are available in the cloud to be accessible on-premise."
"I would like to see better, undisturbed stability without any interruptions."
"Not having to login again after a mobile app upgrade. A simple login on mobile would be great."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"The price of the solution could be lower."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"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."
"The interfaces could be improved and some in-memory operations could be built in."
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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