Appian vs. Tableau Cloud vs. Tableau Desktop

Appian works great for automating manual processes and integrating multiple systems through its toolset. It gives great flexibility for establishing rules for approvals, routings, escalations, and the like. Because of the low code toolset, it's very easy to deploy and make changes as needed as processes evolve and as the organization learns to utilize the system better. Minimal maintenance is required to support the applications build on the platform. Some of the automated testing integration with tools like Jenkins is limited so that may be an issue for some.

Incentivized

If you're using Tableau as the primary BI tool, then Tableau Cloud is well suited to publish and share the results with a wide(r) audience. It is well suited for various degrees of self-service proficiency, from pure consumers of analytical work to more advanced users who can use web editing for smaller or larger adjustments, and even for desktop power users who will publish their work to Tableau Cloud. It has many good ways to organize the content and make it easily accessible via search, favorites, folders, collections ("playlists for your data"), or history ("recents"). It might not be ideally suited if there are many on-prem sources to be used (even though there are options to connect them) or if you have very special requirements regarding custom server setup, which is limited in a shared cloud environment like Tableau Cloud.

Incentivized

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).

Incentivized

• Allows at a glance workflow documentation which assists in the need we have for information readiation.
• Drag and drop interface for workflow development greatly speeds our apps time to market.
• Using the advanced features of Appian, we are able to create working sites in a fraction of the time it would take to do so using "traditional" development.

Incentivized

• Tableau Online is completely cloud based and that's why the reports and dashboards are accessible even on the go. One doesn't always need to access the office laptop to access the reports.
• The visualizations are interactive and one can quickly change the level at which they want to view the information. For example, one person might be more interested in looking at the country level performances rather than client level. This is intuitive and one doesn't need to create multiple reports for the same.
• The feature to ask questions in plain vanilla English language is great and helpful. For quick adhoc fact checks one can simply type what they are looking for and the Natural Language Programming algorithms under the hood parse the query, interpret it and then fetch the results accordingly in a visual form.

Incentivized

• 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.

Incentivized

• Search issues when type ahead and database search are used in the same field.
• Buttons implementation where user is require[d] to click on the button description - if clicks on the button outside that text - button will not work.
• Problems with using certain off-the-shelf performance tools like WebLoad or Neoload. That is because of different dynamic variables being used internally in Appian - which these tools are unable to correlate. We are still investigating using other tools like Jmeter to overcome dynamic correlation problem for performance testing.

Incentivized

• Can be a steep learning curve for new users
• Modeling and building algorithms aren't always intuitive and take some testing/retesting to ensure it's working as it should
• Inability to integrate easily with our HRIS platform. Reports are pulled from HRIS at various intervals and uploaded into Tableau

Incentivized

• 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 recently renewed our license with Appian. We are convinced that its flexibility, relative ease of use, the support they provide, there mobile advancements and their general willingness and desire to see us succeed all contributed to our reason to renew our agreement with Appian

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.

Incentivized

Appian is a low code environment, because of this, a very good visual interface is required. Appian is providing a feature-rich dashboard [that] we can use for building the dashboards and other interfaces. Appian also provides patches and releases to enhance these features. A developer can start off development just by going through a basic course from the Appian learning community.

Incentivized

Based on comments from our clients, I awarded it this grade. Non-technical customers frequently compliment us on the ease with which they can utilize Tableau Online. Usability is rarely a source of contention amongst our customers. Few complaints have come from me as a user of our internal products.

Incentivized

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

Incentivized

Appian is one of the leading low code business automation platforms that support RPA, decision rules, case management, workflow automation, and machine learning all in a single bundle. But it is also harder to implement and replace the traditional business process.

Incentivized

I have not had any issues that require customer support from Tableau at this time, which speaks well to Tableau. I have taken an online course with Tableau and it was very professional and well done, so based on that I would assume a similar level of quality for their customer service.

Incentivized

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.

Incentivized

As analyst I participated in a developer boot camp. At times it was hard to keep up but most of the time it made sense. Trainer took the time to explain and slowed pace down to answer questions etc.

Incentivized

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.

Very boring; hard to get through quickly, but rather effective in demonstrating the use of the platform.

Incentivized

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

Incentivized

It was really seamless. SaaS in the true definition of the word. We logged on and started using the product. Very easy.

Incentivized

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.

Incentivized

Appian has enormously transformed and keeps on updating the product every quarter to meet the latest needs of the world with new innovations & technologies being integrated within the platform. What gives more pleasure than a product that keeps on continuous[ly] improv[ing]?

Incentivized

In determining whether to go with Tableau Online versus Alteryx, two important factors stood out in determining our go-to solution. First, while Alteryx is an impressive tool for data cleansing, it did not stack up in terms of data visualization capabilities. Tableau, on the other hand, provided us everything we needed in terms of visualizing our data and analytics. The second factor is cost. Well neither solution would be considered cheap, Tableau was the more cost effective solution for our needs.

Incentivized

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.

Incentivized

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.

• I believe it has negatively impacted our release dates. There may have been a misunderstanding as to the learning curve, even though it is "low code."
• The look and feel of the applications created using Appian have uniformity and it's easier to have "reuse" between applications.
• There is less developer control when it comes to features. I think this mainly has to do with the amount of plugins available. I would think there should be many more available plugins. But again, our use case is probably different than most others.

Incentivized

• When we release new products, we are now able to quickly see data and toggle between current periods and previous to see performance
• Generating new reports requires less IT time to build
• Data can be shared across many different device types
• We now have integration where our customers can extract data from our software more easily-this was a big ask from our customers

Incentivized

• 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.

Incentivized