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."The DAX coding language is good for creating formulae."
"Provides data feeds for enterprise KPI reporting."
"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."
"The most valuable feature is that it's easy to use. It's very useful for non-engineers and it is the ultimate solution for providing information and insights. Power BI is the best visualization tool I have ever worked with."
"As it was my first time using Power BI, I can say that it was fairly easy to learn, especially if you already know BI-type tools."
"What Power BI is, is a whole collection of templates of small amounts of data that can be used to do something for a real world project, that can be easily set up and become the business intelligence environment or a data warehouse for a large amount of data, for a real world customer. That's what is remarkable."
"Data integration is very useful in Power BI. It lets me collect data from many sources. For example, I can get data from Oracle databases and SQL Server databases at the same time."
"The initial setup is relatively simple."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The ability to quickly search for and access relevant data is crucial."
"A valuable feature is the speed of the solution."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The technical support services are 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."
"I'm missing collaborations functionality to operate or to work connected with multiple people on a data source or on virtualization. There should be more collaborations functions, such as in Confluence. We haven't explored the solution sufficiently in this area, but at this time it doesn't look sufficient."
"They are improving it all the time. What would be nice is if they could respond to feature requests more quickly. They can provide faster support for new features."
"I would like to see better, undisturbed stability without any interruptions."
"Its desktop tool is a little bit memory CPU intensive, and it can be improved, but the machines nowadays come with a lot of memory. For the desktop users who are using it on the desktop, we recommend that they do an upgrade. It is a minor issue. We can fix it on the desktop."
"It needs more analytic tools."
"The solution struggles with large amounts of data."
"The product’s on-premise reporting servers could support real-time data refreshing capabilities like its on-cloud version."
"I would like to see more visualization options."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"It is expensive."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The price of the solution could be lower."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"The solution could be more flexible."
"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.
See our list of best BI (Business Intelligence) Tools vendors.
We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
