Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
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Oracle Java SE
Score 8.7 out of 10
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Oracle Java SE is a programming language and gives customers enterprise features that minimize the costs of deployment and maintenance of their Java-based IT environment.
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Pricing
Microsoft Power BI
Oracle Java SE
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft Power BI
Oracle Java SE
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Microsoft Power BI
Oracle Java SE
Features
Microsoft Power BI
Oracle Java SE
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Microsoft Power BI
8.8
Ratings
8% above category average
Oracle Java SE
-
Ratings
Pixel Perfect reports
8.50 Ratings
00 Ratings
Customizable dashboards
10.00 Ratings
00 Ratings
Report Formatting Templates
8.00 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Microsoft Power BI
8.2
Ratings
2% above category average
Oracle Java SE
-
Ratings
Drill-down analysis
7.00 Ratings
00 Ratings
Formatting capabilities
9.00 Ratings
00 Ratings
Integration with R or other statistical packages
8.00 Ratings
00 Ratings
Report sharing and collaboration
9.00 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Microsoft Power BI
8.6
Ratings
3% above category average
Oracle Java SE
-
Ratings
Publish to Web
8.00 Ratings
00 Ratings
Publish to PDF
9.00 Ratings
00 Ratings
Report Versioning
9.00 Ratings
00 Ratings
Report Delivery Scheduling
8.00 Ratings
00 Ratings
Delivery to Remote Servers
9.00 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Microsoft Power BI is great for sales tracking, financial reporting, and real-time operations monitoring. It integrates data from multiple sources, creating interactive dashboards for better decision-making. However, it's less ideal for real-time big data processing, offline access, or when deep customization is needed. It works best for structured reporting but struggles with highly complex data models.
Oracle Java SE is well suited to long-running applications (e.g. servers). Java Swing (UI toolkit) is now rather outdated, lacking support for modern UI features. JavaFX, the potential replacement for Swing, has now been separated out of Java core. Ideally, there would be a path to migrate a large application incrementally from Swing to JavaFX, but due to different threading models and other aspects, it is difficult. At this point, it is probably better to use an embedded web browser (e.g. JxBrowser) to provide a modern UI in HTML/Javascript and keep just the business logic in Java.
Since Java runs on a virtual machine, it's generally considered to be agnostic of the hardware it's running on. It allows for deployment across a mix of hardware setups with the same binary.
Lots of literature, third party libraries, support forums, and books have been devoted to Java in general, making it a great language to use to support the business.
Backwards compatibility has been an important strength of Java for us. Legacy code that isn't ready to be retired yet can still run on our newer setups despite using older versions of OJSE.
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
Takes a little bit to get used to it. Not natively intuitive but fairly straight forward to pick up. Also docking it a few points because you can create a really clean, simple UI in Claude very quickly that's faster than building all of this yourself in Microsoft Power BI.
The language is fluent and has good support from a number of open source and commercial IDEs. Language features are added every 6 months, although long-term service releases are only available every 3 years. It would be nice if some of the older APIs were depreciated with more pressure to move to the new replacement APIs (e.g. File vs. Path), but transitions to new features are generally well implemented.
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
Java is such a mature product at this point that there is little support from the vendor that is needed. Various sources on the internet, and especially StackOverflow, provide a wealth of knowledge and advice. Areas that may benefit from support is when dealing with complex multithreading issues and security libraries.
All others apps are enablers and Microsoft Power BI is the visual that end user sees which often adds more value to the end user to make strategic decisions from this. All are equally great but Microsoft Power BI is the end result
We choose Java as our system has multiple sub-applications that have different purposes and architecture including back-end applications, front-end UI, front-end Rest API, and Selenium Automation tests. They are deployed in Windows and Linux, communicate with each other using Rest API, RMI and Queue Message and need to support different deployment environment from Dev, Test, UAT to Production so using Java allows us to have a common standard from development, build and deployment for all applications.
We're still early in the adoption process at this company, but we've illustrated how bad data keeps us from being more productive. ~25% of a team's work week was dedicated to effectively cleaning up entries, but it was always seen as a normal to them.