ComponentOne vs. Tableau Desktop

C1 is great for creating custom reports. We have client apps where we've created some fairly complicated reports such as invoices and real estate inspections. We also use the True DBGrid in many of our apps since it is so customizable. Its grouping and filtering features are very nice and can provide summary counts and totals at the bottom or right side of the grid that are very handy.

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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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• The True DBGrid control is nice for showing parent/child relationships and being able to drill down and show the child data. It also is nice for showing summary totals.
• The report engine is great for building custom reports for Win Forms or web apps. It can do everything that Crystal Reports can do.
• They have a good selection of controls that can do just about anything you can imagine.

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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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• Sometimes it is difficult to figure out where things are in the properties of controls since there are so many things you can drill down into.
• I find myself using Bing or Google a lot to look up how to do something. Some things are not very intuitive.
• Of course, I would always like the price to be cheaper. The high price has caused us to not keep current and have the latest version.

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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

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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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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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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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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We have been in business since 1992, so we have used many different products over the years. The two other products we've primary used that are similar to ComponentOne, are Infragistics and Crystal Reports. Infragistics has a vast array of controls similar to ComponentOne. We use both to be honest and I'm not sure which one I would pick over the other. I guess that would depend on what you're trying to accomplish and if one had some control or capability that the other didn't. ComponentOne does have the reporting capabilities, where Infragistics does not.

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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.

• ComponentOne allows us to add additional features to our apps that wouldn't be found in apps written with just Visual Studio itself. That allows our clients to get more creative in their requirements, which in turn, means more work and billable hours for us!
• Our apps appear more professional when using ComponentOne which helps us get projects for new clients.
• ComponentOne also helps us to save clients some money since we are not having to develop things that it can do from scratch.

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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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