Google Charts vs. Microsoft Power BI

We can easily recommend Google Charts to any company that needs a way to visually represent their data. Another great thing about Google Charts is that it is free to use and does not require any membership fees. Although it requires a skilled used to be able to use the charts, the results are great and can be beneficial to any company who is looking to make better decisions.

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

Incentivized

• they're free with Google suite and they have backing in terms of powerful Google apps which can be plugged in to perform multiple actions like using Google sheets to import raw data into Google Charts
• they're the most simple app to use when it comes to creating charts and visual dashboards
• ease of customization
• ease of using custom APIs from developers side to help make any types of charts and dashboards you want

Incentivized

• 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.

Incentivized

• I would like a couple more introductory videos or a live chat option for when you run into an issue. I think this is a Google-wide problem, not only linked to Google Charts.
• I have run into some issues with the Dynamic Data but also admittedly could potentially dive in deeper and investigate.
• It would be great if Google Charts made it possible to integrate Google Chat into the platform.

Incentivized

• 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.

Incentivized

Google Charts is a good product. It's widely supported with deep documentation and a large community. But for me, it wasn't customizable enough. When we started with simple charts, it was great, but as we got deeper and more complex, our needs outgrew the library. If I was going forward, I would choose a more barebones library with more freedom and extensibility.

Incentivized

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.

Google Charts is about as easy to use as the rest of their applications. The UI is very well thought out, allowing you to add what you need, and customize it to your exact liking. The default theme is actually really nice, which helps as most of the time, customizing is not needed.

Incentivized

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.

Incentivized

Google charts is always available and provides fast output.

Connectivity is occasionally very slow.

As a free tool with massively powerful, infinitely customisable charts that can be dynamically updated - Google Charts is my favourite data visualisation tool. However, my hatred of JavaScript does jade my view on it. This is the price of the tool though, and I'm glad it's available for me.

Incentivized

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.

Incentivized

The online training was solely done through self training on google's guide to charts.

Easy to implement

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

Incentivized

Google Charts stacks up better since it is free and does not have the constant pressure for cost overruns, add-ons, annual maintenance and implementation services. The speed of using Google Charts is quick, saving users potentially weeks in getting up and going. For the readers of websites with limited resources, the application shows up nicely is look and feel with charts. Great way of showing data visually.

Incentivized

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.

Incentivized

Google Charts is essential for quick, easy, reporting. There are opportunities for advanced features.

• teams were easily able to create charts and find out progress on our learning courses and thus take actionable insights to their managers, professors
• students could also know their progress on various courses from one single view, same for instructors in terms of imparting education
• sales team could learn which kind of courses sold more to focus more on those areas

Incentivized

• 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.

Incentivized