Selenium vs. Tableau Desktop

When you have to test the UI and how it behaves when certain actions are performed, you need something that can automate the browsers. This is where Selenium comes to the rescue. If you have to test APIs and not the frontend (UI), I would recommend going with other libraries that support HTTP Requests. Selenium is good only when you have no choice but to run the steps on a browser.

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The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

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• For any web based UI automation, Selenium is the best tool out there to automate your tests.
• It supports multiple coding languages like Java, Python, Ruby, C# etc.. to choose from.
• There is a huge community of users and can get many answers on StackOverFlow.
• It has lot of other plugins to make your tests even more efficient.

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• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

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• Selenium is pretty user-friendly but sometimes tests tend to flake out. I'd say roughly one out of twenty tests yields a false positive.
• Selenium software cannot read images. This is a minor negative because a free plug-in is available from alternate sources.
• Slowness may be a minor factor with Selenium, though this is an issue with basically any testing software since waiting on a site to execute JavaScript requires the browser to wait for a particular action.

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• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

We love this product mainly because of its high customization abilities and the ease of use. Moreover, its free and can be learned easily through online communities and videos. The tests are more consistent and reliable as compared to Manual tests. It has enabled us to test a large number of features all in one go, which would have impossible through manual tests. The reports generated at the end of the tests are really helpful for the QA and the development teams to get a fair view of the application.

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Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

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For those who are unfamiliar with coding, there is a bit of a learning curve. There is plenty of helpful documentation and resources but it can take a little time to get the software up and running. Once you get the hang of how Selenium works, and what it can do, you realize how many things you can use it for, and how many processes you can automate.

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Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

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The Selenium app has a pretty fat community of users. For the problems we are experiencing, we are primarily receiving support from these communities. In addition, there is widespread service support. Instant support is given to the problems we experience when we need Online support. We and our team are happy to provide this support, especially before important deployment processes

Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

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It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

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We did everything we needed to use it. Now we can execute our tests on different operational systems and browsers running few tests simultaneously. We also implemented Appium framework to execute our tests on mobile devices, such as iPhones, iPads, Android phones and tablets. We use SauceLabs for our test execution and Jenkins for continuous integration.

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Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

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At the time of adoption, there were not many other alternatives that were even close to being competitive when it comes to browser testing. As far as I know now to this day, there is still little competition to Selenium for what it does. Any other browser-based testing still utilises Selenium to interact with the browser.

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I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

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Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• There hasn’t been a downside to using it yet other than we’ve got to update the programs we create for each change.
• This has saved us hundreds of hours of manpower by allowing our automation engineer to rapid fire tests.
• We are able to screenshot and save entire sites before and after launch with a program the automation engineer created
• We can compare large volumes of data against data in excel docs with a program created using Selenium

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• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

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