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.
$115
per month (billed annually) per user
Workday Adaptive Planning
Score 8.0 out of 10
Mid-Size Companies (51-1,000 employees)
Workday Adaptive Planning streamlines planning workflows, using AI and real-time data integration to improve collaboration and provide predictive forecasts for better strategic analysis.
N/A
Pricing
Tableau Desktop
Workday Adaptive Planning
Editions & Modules
Tableau Creator License
$115
per month (billed annually) per user
No answers on this topic
Offerings
Pricing Offerings
Tableau Desktop
Workday Adaptive Planning
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
Both power bi and Tableau Desktop has its own pros and cons. Microsoft power bi is best to work with Microsoft products. however for fast connection with diverse range of integration with data sources Tableau Desktop is best. if you are cost sensitive power bi is best option …
Tableau is more flexible than these - I liked Qlikview old version a lot but have not used the Qlik Sense etc new ones. Tableau user logic is harder to understand than Looker Studio. However it's more trust worthy. Connecting internet sources to Tableau Desktop is much harder. …
Tableau Desktop is older and just better overall. It has more capabilities and is more useful to have. I don't think you could have Alteryx as a standalone product like you can with Tableau Desktop. You'd want another bi tool.
Tableau Desktop has a more easy to use drag and drop interface and is easier to learn. It also allows greater customization of charts than Power BI. However, Tableau Desktop costs more than Power BI which is bundled into our Microsoft contract at no additional charge. Power BI …
The visualizations are far and away more powerful and it is more user friendly than Power BI. It would take 3-4 times as long to create the types of reports in Excel that I can create in Tableau Desktop and there are a slew of ways I can present the data in Tableau Desktop that …
It has a better user interface compared to Microsoft Power BI. The Tableau integration process is quite simple and clear with the third-party application whereas Power BI is not easily integrated with other tools and requires a complex process to follow for integration. DAX …
When it comes to pricing, Tableau is kinda expensive but worth it as it has more features, not just features but really useful features that make our work easier especially as a project manager I need to pull up data almost every day in our meetings, and I find Tableau useful …
Tableau can create visually attractive customizable dashboards than can quickly by drag-drop while in power bi we can create simple dashboard. Power bi support lesser data source while in Tableau there is a lot of options When we talk about data handling tableau is a clear …
Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other …
Tableau Desktop provides some state of the art feature and capabilities that are just awesome. Its support, online blog, and tutorials are better than its competitors. That was the best selling point for me.
With Tableau Desktop, it's easy to create a report in the
context quickly. It allows for the seamless management of the data sources,
which is convenient for the data users. Because it is simple to use, it is
It does have a lot of potential when using Microsoft other technologies - in integration/Embedded, Visuals and connectivity to data sources. Advanced analytics is also smooth when working on python/r scripts. Automated insights are better in Tableau/Alphaa AI. NLG/NLQ - …
For complex data visualization, Tableau Desktop shines. Even though it uses highly granular databases, it has a powerful engine that can process large amounts of data quickly and produce high-quality charts. It has the broadest range of APIs and is extremely simple. The …
We decided to use Tableau Desktop as that's fairly standard in the industry, it is being taught in college, and is widely known. Tableau Desktop is nice, but in my opinion, it is VERY expensive. Unless you are really making money off of decisions, then your ROI is going to be …
Using Tableau Desktop, we have found it the most actionable and user-friendly application ever. It has the broadest range of APIs and is exceptionally user-friendly. It can handle a large amount of data and produce smooth charts quickly. For data geeks, this is the ideal stack.
When compared to Power BI, Tableau has a more flexible deployment. You can install the desktop version without having to install the SQL server. Tableau got you covered end-to-end — from collaboration, analytics, content discovery, data prep & access, down to deployment. …
Tableau Desktop is preferred over other BI software because it allows for more data visualization, storytelling, and dashboards. Microsoft Power BI may be a better option if you need to perform data modeling, however. Tableau Desktop is an excellent tool for nearly all other …
We preferred Tableau over Power BI due to its user-friendly interface and interactive GUI. Since we work with large datasets, we observed that Power BI can deal with only a limited amount of data when compared to Tableau which creates complex visualizations in a time-efficient …
Tableau Desktop is the most user-friendly and actionable application we have used in comparison to others. It has the best API connection potential along with easy start-up. They seem to always be updating the platform to solve newer problems which help keep my company up to …
We also use Power BI for small projects and teams that can't afford to pay for Tableau licenses. Tableau has more features and is more robust compared to Power BI. They also provide better and faster support compared to Microsoft. It is the standard visualization tool, but …
Compared to Vena, Adaptive Planning appeared to be better at scaling with us as a business. Vena uses Microsoft Dynamics as its platform and are somewhat limited in its roadmap due to what's available from Microsoft. Vena is much more linked to an Excel solution than Adaptive …
While we have looked at various other platforms and even tried them out in the past, we eventually selected Workday Adaptive Planning to help with our headcount planning as we have a lot of entities especially international ones and we felt that Workday was the best suited for …
For best-in-class capabilities, you'll very likely need to split the various HR and financial systems into separate systems rather than using a consolidated platform like Workday. However, a consolidated platform provides benefits by being a single location for employees and a …
Workday Adaptive Planning is similar to payroll and workforce management by implementing constant and new changes to finances, workplace changes and the people changing in rolls and employment. Both tools are very useful and practical in a company setting and mainly in …
Like I said in a previous question, the fact that there was downtime that was needed to update all the data that was entered in a day was not ideal. This caused for hours lost on the data update and didn't allow our leaders to see the affects immediately like Workday Adaptive …
Overall being familiar with the Workday Adaptive Planning tool's flexibility and ease of use our finance and ops team saw this as the easiest and most robust tool that they could admin and maintain without outside IT resources.
In my opinion, Spreadsheet Server is not even in the same game as Workday Adaptive Planning. While it is flexible in Excel, it still requires a lot of back and forth for analysis.
Our previous platform was patchwork tools and unintegrated. We were clunky and poorly organized. The system was slow and
difficult to use, and it was either overhaul it or start over. We evaluated our
options holistically and went with Workday. It works better and faster, and …
Workday provides adaptive and intuitive planning that does not has disruptions when there is any change in system or migrations of servers, users or systems. Workday integrates with CRM, ERP and other database engines to source data and provides insights that can be exported to …
It doesn't have the same standard fulfillment modeling as the true workforce planning products, it equals the other core HCM systems and beats them on ease of use.
Workday Adaptive Planning is not as robust as SAP Ariba, but it is certainly better than BadgePass. The trouble with BadgePass is that it can be a but clunky in some modules that seem like clear bolt ons to the main product UI. Whereas, Ariba was clearly built to satisfy …
Workday became our choice because it is fully web-based and easily integrates with other systems. The learning curve for Workday was shorter than that of Dynamics. The reporting tools in Workday are more user-friendly than that of Dynamics. However Workday did not have Check …
From our initial findings, Workday Adaptive seemed like it was going to be easier to get up and running out of the box and fit the needs of our company more.
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).
If your company requires headcount and enterprise initiative planning across departments, it really helps to see the impacts at the company level. It is well-suited for conducting what-if scenarios and beneficial if you already have Workday HCM with position management. It may not be well-suited to companies that require custom dashboards.
The Visualizations graphics are really good and the color options help in designing attractive charts. They help to convey more information and can be made interactive.
You can add filters with offer you to plug and play with values and understand different outcomes.
You can drag and drop options while creating charts and dashboards. also it is a very fluid layout.
Version Management. Adaptive lets us manage many versions/scenarios all in one platform with the robust ability to compare them to each other.
Processing Performance. With the Elastic Hypercube technology that was implemented a few years back, we can watch changes flow through a complex web of formulas and arrive at an answer within seconds.
Audit Trail. Our administrators love the ability to see and report on who made what changes when, which leads to real accountability within the organization.
Expense reporting aspects are repetitive and hard to fully optimize.
Finance tracking is limited to basic reports with multiple levels or drill-down...hard to fully grasp without exporting data and massaging in something else (like Excel).
Because right now its the best option out there (disclosure: I haven't used Qlikview or some of the other direct competitors of Tableau). The big investment is in Tableau Server not desktop. For the cost of the license of Tableau desktop, its a pretty good deal. You can hook it up to pretty much any data source easily. You can easily share the visualizations with your team/colleagues easily. Tableau Desktop is generally easy to use for business users. But the more advanced stuff is better suited for a analyst or someone with a IT/CS background.
For one we're in way too deep to not move forward with Adaptive. We're integrated with Workday, we do a ton of reporting with Adaptive, and it's working very well for planning and forecasting. No reason to look back or change course.
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.
Love, love, love, love the OfficeConnect interface as well as the Planning tab within Excel. OfficeConnect is so flexible, gets immediate updated data (after integrations are run). No need to recreate workbooks every month, just refresh the data. This really is the lifeblood for my CFO and leadership team. The Planning tab in Excel allows us to look at a Sheet with many, many rows and perform analysis, even sending it back to Workday Adaptive Planning.
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.
There haven't been any lately. The only one issue I can think of is when there was an update in Adaptive that altered our reports. Before I realized there was an issue, Adaptive reached out to let me know, so that it could be fixed.
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
All aspects of Adaptive Insights perform well. One area that I wish was quicker was integration. When importing data from Intacct our accounting ERP platform, it can sometimes take 4 hours for the import to process. The earlier imports are done, the quicker they complete. My estimate for a quick upload is about two hours.
The Tableau Desktop's support team has been very helpful and tend to response very quickly. After all you have paid very premium price for the product and it goes to the services. This makes using the tool much easier for these who doesn't have such experience to get help quickly.
Whenever we have had any questions, issues, or concerns, the support has been quick and thorough. [This] allow[s] us to be able to fully resolve any issues, or be connected with the right group quickly to attain the result we were after; be it from simple formatting to adding new detailed reporting.
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.
This was extremely helpful so that they could walk you through the model and teach you more about the complexity of various areas. It is most helpful when it is specific to your organization's model. The larger in-person trainings were helpful but they tended to be more generic and entry level. The trainings that are more tailored to your specific needs are the most helpful.
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
They often times tended to be way too generic or entry level. They would also become sales pitches to upgrade or get new Adaptive Planning products. The questions in the training would be very niche and specific to other organizations. They were rarely helpful to the group at large.
Time needs to be spent ahead of implementation to make sure data sources are set up and ready. Consultants need to understand the data sources and the goals before setting foot on-site. Installation is easy, learning to use it takes time. The training resources available are great.
Trust the expertise of very strong 3rd party implementers. Having deployed Adaptive at a separate company before, I thought I knew it all (hubris, I know). Fortunately, I began to (very quickly) trust the judgment of our Carlson implementation team, and they provided invaluable insights and best-in-class processes that have benefitted me and my team greatly.
Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other benefits is that both programmers and non-programmers can equally explore and create their own opportunities, and seamless integration is possible.
Compared to Vena, Adaptive Planning appeared to be better at scaling with us as a business. Vena uses Microsoft Dynamics as its platform and are somewhat limited in its roadmap due to what's available from Microsoft. Vena is much more linked to an Excel solution than Adaptive Planning and we felt getting our Commercial Finance Business Partners out of Excel would be beneficial to move the mindset away from being analysts to being advisors to the business. OneStream's key selling point was its ability to merge together multiple ERPs into one single platform. This looked powerful but since we were on a single ERP, we wouldn't have benefited from that key feature. The OneStream user interface also looked very dated, as did their reporting outputs. Adaptive Planning had a much more modern and appealing reporting environment.
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.
We went from 2 users to 70+ users over a 2 year period of time. The application scaled wonderfully. 65 of those users were non-finance users so they were able to quickly learn the software and prepare budgets quickly and efficiently. That is the power of Adaptive and its ability to scale