Caspio vs. Tableau Desktop

Contact forms are incredibly easy to build and customize, as are most other kinds of more involved forms. Forms allow html input and can be designed in a number of ways. It's helpful if you know some HTML. JavaScript knowledge can add advanced options, but is not necessary for the most common uses. The company used to call itself "No-Code," but has changed to say "Low Code," which is much more accurate.

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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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• Caspio is an online database platform. It allows one to create multiple tables and views to be stored via the web. Tables can be configured to not only hold data but also to hold files like Word docs and images.
• Caspio is great at creating online forms and reports. It allows the user to create forms to capture, update data, whether it's password protected or just a simple form.
• As a database platform, one can create online tables and forms linking multiple tables and views to each other. I would say it is the Microsoft Access of the online platforms.
• The system is very easy. Wizards allow one to create forms, tables, and datapages. Since the platform is online, you may access your database anywhere.

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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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• Pricing for additional storage could be a bit more competitive
• The builder wizard is helpful, however there could be a tutorial for first time users
• Calendar pdf exports would be usefull

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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 are committed to Caspio Bridge. We could migrate to another product, but we would not be able to do so quickly. I estimate that we would need about a year (maybe more) to convert all of our forms and processes if we were to switch to some other product

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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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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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I've had some instances where my team and I discovered a bug in Caspio. We alerted the company, and the bug was fixed in the next regular update of the software. The few times that I've had to contact support, it was a pretty good experience. They're not terribly quick to respond and take action, but they don't ignore you, either.

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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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GroupHigh is so frustrating to use. It is constantly changing the way you can search for bloggers, and we can never find exactly what we are looking for

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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.

• Positive impact of easy of adding new varieties.
• Positive impact of having new emails added directly to email list through Zapier.
• Positive impact on increasing productivity of our staff.

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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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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