Microsoft Power BI vs. MySQL Workbench

Has significantly improved collation of data and visualisation especially with business across Europe. Has given me the ability to see the Site availability at the click of a button to see which Site is in the "money" and seize opportunities based on Market data

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It is good software when we have to connect the database of the remote server but it is not as good as phpMyAdmin. When local server is concerned, phpMyAdmin is way better because it has more cleaner UI than Workbench. Workbench is preferred only because phpMyAdmin does not support the connection of remote servers.

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• Options for data source connections are immense. Not just which sources, but your options for *how* the data is brought in.
• Constant updates (this is both good and bad at times).
• User friendliness. I can get the data connections set up and draft some quick visuals, then release to the target audience and let them expand on it how they want to.

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• Readily available too for quick and easy SQL queries
• Maintains upgrades
• Works across multiple OS platforms

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• It would be easier for users could Microsoft Power BI and Excel used the same programming languages.
• Would like to see the online version of Microsoft Power BI be as powerful as the desktop version.
• Publishing a Microsoft Power BI file online and then having to save the file is somewhat redundant.
• Would like to export each page or chart as an image.

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• There are a lot of menus, some of them aren't needed or users who only need to send queries. I had to watch a videos on youtube to learn how to use workbench. It would be great to have some videos inside software (or links to videos on youtube)

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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.

Automating reporting has reduced manual data processing by 50-70%, freeing up analysts for higher-value tasks. A finance team that previously spent 20+ hours per week on Excel-based reports now does it in minutes with Microsoft Power BI's automated Real-time dashboards have shortened decision cycles by 30-40%, enabling leadership to react quickly to sales trends, operational bottlenecks, and customer behavior.

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MySQL Workbench is useful for specifically remote databases. Remote databases generally does not have any UI and we have to connect the server via SSH and on CLI, we write the queries and it shows the data, which is quite tiering and more prone to make mistakes whereas MySQL Workbench provides cleaner way to connect and provides lot of tools, so that we do not have to write queries all the time.

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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.

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It was integrated with our erp easily and was accessible on cloud.

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Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would not pay for Tableau or Sigma anymore. Not worth it at all.

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It's like comparing a VW to an performance car like a Ferrari. If you need the performance, bells and whistles you'll want PhpStorm. If you just need to get from one place to another, MySQL Workbench will do just fine.

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• Power BI usage reduced the effort of analytical reports creation by about 80%
• Empowered all the level of employee to be more vigilant of the data and business insights, gained the profit of 8% overall.
• AI-powered predictive analytics improved forecasting accuracy by 17%, that topped the overall sales.

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• It provides good features and saves the time.
• When we use remote server, we can connect without using ssh etc. so saves the time and easy to understand.
• Do not have to write the queries to check the schema, so saves the time.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info