Plone vs. Tableau Desktop

The larger your organization, the more appropriate Plone will be. This is not to say that Plone is a worse choice for small websites, only that the minimum investment for a Plone site is certainly higher than for other platforms. If you already use Plone for your site and are looking for a redesign or an overhaul, I would only advise switching to a different platform such as WordPress or Drupal if your organization is downsizing. For any other situation, Plone is the natural choice for your growth.

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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• Plone is a folder-based system, organising content in a similar way desktop-users are doing for the last two decades. No need to teach non-tech customers some relational-database like paradigm for content management.
• Plone is secure. It is the most secure CMS you can get your hands on.
• Plone is flexible, and makes fast development easy.

• 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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• Not everything is configurable or editable by Plone, and when you need to adjust or add custom pieces in, you need to deal with Zope. Zope has an ugly, confusing and difficult UI and structure as a backend.
• Using 3rd party products is difficult to do - there are a few different ways to get them installed, all of which take a bit of luck to get right.
• Building custom products for Plone is not fun. You've got to deal with an archaic framework to tie in that is not well documented (there is documentation about many things, but not great documentation and there are a lot of holes in the documentation).

• 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 have critical systems running on Plone so will need it in the future.

Free to use since its Open source, so we don't have to worry about licence costs.

We know how to use and develop Plone and it has no limits.

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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Compared to the amount of Plone sites, users and customizations we have in our organization, the amount of support requests and training needed is really small.

The new user interface in Plone 6 is even better, it is super fast, has lots of different blocks for enhancing the page, has flexible layout system and is easy to extend with more features.

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.

Our Plone sites are very robust. We have critical systems on Plone and we have been running sites on Plone for over 20 years with very little unexpected downtime.

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.

Plone is very intensive in its operations, and if not configured well it can be slow. However it is designed and built with speed in mind and with proper use of coding, templates and caching can perform extremely well under high loads. It is capable of scaling to very high load availability environments with no specific coding requirements.

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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There are not too many Plone companies in the world. But the ones who are, are high level professionals

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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I have been participating Plone training and the trainers have always been professional. Materials were good and the instructions clear

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.

Well organized, professional training with good materials and instructions

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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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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Drupal: Plone is cheaper, so with Drupal is more complex to reach the required ROI. However, Drupal has a lower learning curve WordPress: For our necessities it has a more expensive learning curve than plone. Joomla, is easier to use. However, it have some issues on security and web content where Plone is much better

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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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Plone has no limits. We have massive sites and can run them just fine

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.

• The impact Plone has had at the University of Oshkosh is as follows: this software allows student workers to learn about IT departments and CMS's in a user-friendly way. It gives many students great jobs that look great on their resumes.
• Since there are great training manuals for Plone, there is increased employee efficient in the workplace. Training doesn't take long, and if there's ever a question, the Plone manual is a great tool to refer to.
• If an employee using Plone quits, its easy to find someone to replace them with quick training and great resources.

• 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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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