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."I like having the ability to connect Excel files as data inputs."
"The interface is very easy to use."
"The visualization part and its inclusion in a cloud-based application are valuable features."
"There is a lot of variety in Power BI. In particular, the visuals are quite rich and the feature set has been growing rapidly in the last two years. Possibly the best part for me is that there are a lot of ways to connect with data sources."
"In the process of using data there is the Extract, Transform and Load (ETL). For extracting we are using another software, for transforming we are using our own coding in C#, and then we use Microsoft BI for loading the information. Microsoft BI displays information very well."
"We encourage end users to use Power BI because it's quite easy for them to interact with the menus and the navigation bar. Even for ordinary users, they can create their own dashboard using Power BI."
"Microsoft BI is easy to use and to design. I found Microsoft BI a lot easier than Tableau."
"Most of the clients I am interacting with are looking towards Power BI because of the cost and simplicities. It provides an entire feature set and a complete solution. It has tight integration with Office 365, Dynamics 365, Microsoft Technology Stack, and datatypes like R and Python."
"The solution can scale."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The technical support services are good."
"The product is easily customized."
"The ability to quickly search for and access relevant data is crucial."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"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."
"I am taking a course to be able to use the solution better. Some aspects of the solution are not straightforward."
"There is no column-level security in Microsoft BI, and this is a feature that most of our customers are looking for. That is something that should be implemented."
"One opportunity for improvement would be on the Power Query side. As a consultant, I know Power Query is not the main strength of Power BI. It is not where Power BI shines, but many customers use Power Query to do full ETL workloads for deliverable cookies."
"From an improvement perspective, I think if the Power BI developers of that platform would really focus on being more detailed and specific on the error messages, it would help a lot of developers troubleshoot and maintain the report ECT or the dashboard ECT."
"I would like to see a feature that connects with a Machine Learning platform like a RapidMiner or Azure Machine Learning Studio. It would be great to have a Machine Learning application link to connect."
"The product’s on-premise reporting servers could support real-time data refreshing capabilities like its on-cloud version."
"It is getting better but still, there are opportunity areas in some aspects, especially the Windows OS dependency."
"The Microsoft BI interface should be simpler and more user-friendly. I find it very difficult to move between their data sources and their analytics section."
"When you implement the product on a small scale, it doesn't generate any ROI."
"The price of the solution could be lower."
"The interfaces could be improved and some in-memory operations could be built in."
"The scalability has room for improvement."
"The product could benefit from increased flexibility compared to other vendors."
"It is expensive."
"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 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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