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."Data integration enabled my organization to easily pool data from our varied system into one data warehouse."
"It's pretty easy to set up the product."
"In my experience the scalability is good. You are able to increase users and add more data."
"The interface is very fluid."
"The initial setup is simple to do."
"The capability to add custom visuals and create Power BI apps. You can package datasets, synchronization details, and dashboards into a single app."
"Provides a full platform (database, ETL, reporting, analysis, and so on)"
"What I like about Power BI is how fast you are able to create dashboards and how fast you are able to fetch the data. You can connect to the database or data source, and then you can design your dashboards very easily."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"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 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 solution is user-friendly."
"The solution can scale."
"It's great for consolidation and creating one source of truth."
"A valuable feature is the speed of the solution."
"If you have to pull multiple data sources performance is somewhat lacking."
"Sluggish performance when handling large amounts of data."
"I believe there is room for improvement in terms of authentication and certain functionalities in Power BI. For instance, adjusting the width of columns is not easily done, as there is only an option to enable or disable automatic adjustment. This can be a significant drawback for clients who desire more flexibility."
"The solution could use a faster speed on certain interactions and a refresh of the dashboards."
"It needs an AI which can choose the appropriate connection strings and provide options for connections."
"This solution is resource-heavy."
"There are some problems with the functionality of this solution. The dashboard is not very user friendly and is quite complicated."
"The integration in Microsoft BI could improve for other solutions, such as Oracle DB and PostgresSQL. Additionally, the reporting from the databases to Microsoft BI should be in real-time and the overall performance could be better."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"The scalability has room for improvement."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"When you implement the product on a small scale, it doesn't generate any ROI."
"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."
"They could improve the ease of developing the dashboard and interacting with it."
"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."
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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