Automation Anywhere, headquartered in San Jose, California, offers their robotic process automation (RPA) software.
$750
per month
Tableau Desktop
Score 8.3 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$70
per month
Pricing
Automation Anywhere
Tableau Desktop
Editions & Modules
Cloud-Only Starter Pack
$750
per month
Advanced Pack (Cloud or On-Premises)
Contact for quote
Tableau Creator
$70.00
Per User / Per Month
Offerings
Pricing Offerings
Automation Anywhere
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Automation Anywhere
Tableau Desktop
Considered Both Products
Automation Anywhere
Verified User
Consultant
Chose Automation Anywhere
Automation anywhere offers ease of use, has good education material available, and currently has a good partner deal with my organization. However, the certification examination does not truly test an individual' ability to develop bots; it rather tests trivial information that …
Automation Anywhere is well suited for automating repetitive or complex tasks that can be performed on a timeline such as data processing, data extraction, and file transfers. Automation Anywhere also has capabilities for integration with legacy applications and APIs to automate more complex data flows. Automation Anywhere is also ideal for automating document processing, form filling and other web activities since it has both image recognition and image-based automation capabilities.
On the other hand, Automation Anywhere is less appropriate for tasks requiring high levels of system intelligence such as machine learning or natural language processing as these require different types of technology. Additionally, if a task requires manual elements such as validations or reviews then Automation Anywhere may not be the most suitable solution either. It can be possible to set up automated validations but that might not always result in an ideal solution due to its limitations.
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).
Now I easily generate the invoices and quotation generation is an easy task now. Previously it was very time consuming as we have to drag the data from the excel sheets.
I will praise its integration with other software that has facilitated us to make amendments in the data across those platforms.
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.
Automation Anywhere doesn't come with easy installation, We need to install Java, IDEs and Databases in an orderly fashion which we are not able to do.
Automation Anywhere has no workflow design which is not making us to understand the process.
Automation Anywhere has no fit to size object cloning.
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.
On more complex use cases, Automation Anywhere requires technical background like knowledge on network protocols and database language on task creation, and even people with technical background might have some trouble in the beginning because of the product particularities on how variable manipulation works, or how to get the object cloning (a more resilient screen manipulation command) to work as intended. The scheduling of tasks on the Control Room and the autologin feature isn't intuitive as they should, so much of this works requires documentation analysis to get it done on the first time.
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
Automation Anywhere is a great tool for a low cost, fairly easily scalable, and quickly learned. The company is growing by leaps and bounds and continually pushing the automation boundaries. The problem with fast expansion is that sometimes you can grow more quickly than you can appropriately support your products. While Automation Anywhere has an excellent support structure in place, every company and situation is different, and they often struggle with why problems arise in the system and how to fix them.
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.
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
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.
Automation anywhere scores well with respect to other solutions when we look at bot implementation, bot management, and basic automation. From a security perspective as well, AA fares well as compared to other solutions. UIpath is better suited when we operate using VPN systems and integrating with homegrown solutions.
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.
Highly reliable once you start experiencing the results. It helps you to have a clear cut results with better productivity numbers and financial savings
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.
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.
