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."Reports, dashboards, and visualizations are most valuable."
"I like that I can use Power BI to upload data. That is very important for me. The visualization is also convenient and easy to use."
"I liked that Microsoft Power BI handles a large amount of data. I can handle hundreds of rows from Postgres in a few minutes. I also like how it detects the relationship between the tables without explicitly saying that. It just detects the relationship automatically. That made it easier to work with the data."
"It has provided customer purchase patterns and great visualization."
"We have a lot of servers and applications from which we want reports, and it allows us to create reports from an SQL source or some other source."
"Microsoft B's beneficial features are that it is a Microsoft product and it is well known by the staff here in the company. It suited the available skills."
"Many of my customers already use Microsoft products like Office 365, so I often propose Microsoft Power BI because it integrates well with all the standard Microsoft business tools. And it's the quickest tool to implement and start using daily."
"The dashboard features are really valuable, you can connect to multiple data points."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"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."
"This is a stable and scalable solution."
"The solution is user-friendly."
"The best feature may be data flow, which is used to prepare and clean data."
"It has the best feature for data augmentation."
"The technical support services are good."
"The DAX in Microsoft BI is quite difficult."
"The orchestration module for refreshing data flows is something that is missing and we have to do it manually."
"There are some connector-related issues in their MSBA solution."
"This solution needs integration with SAS and more deep analysis functionality."
"I have a little problem with Synapse Analytics because it's very new. It's a product that has many capabilities, but it is not very well developed. I have to see the list of permissions from one object. I can't do this in Synapse. I have to search on the web for a solution because I don't have the tool for it."
"Integration with artificial intelligence would help. Humans take time to review the data and eliminate errors. Artificial intelligence based on machine learning and understanding can bring the same functionality."
"I would like to be able to use more predicting data science features without having to use R."
"Anything they can do to improve enterprise collaboration is going to help people get set up and utilize the solution."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"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."
"It is less scalable than Snowflake."
"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."
"It is expensive."
"The product could benefit from increased flexibility compared to other vendors."
"The scalability has room for improvement."
"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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