Celonis is a Process Intelligence platform that helps companies improve their operations, customer experience, and sustainability. The company’s technology provides a digital twin of a company’s processes, giving everyone in the organization a common language and the ability to identify and capture value.
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Tableau Desktop
Score 8.4 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.
$1,380
per year (purchased via a Creator license)
Pricing
Celonis
Tableau Desktop
Editions & Modules
No answers on this topic
Tableau Creator License
$115
per month (billed annually) per user
Offerings
Pricing Offerings
Celonis
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Required
No setup fee
Additional Details
Snap is Celonis' free-to-use, cloud-based process mining solution, with over 3500 registrants and users. It includes most major features of Celonis, including all functionality found in common process mining tools. It also includes pre-built connectors to ServiceNow and pre-built content to get users started quickly on their process mining journey.
All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
Data extraction possibilities were much more restrictive in Signavio in comparison to Celonis. Not sure for the rest of the features but for us it was very important for the process mining tool to provide straightforward connectivity possibilities to multiple data sources.
Celonis is unique in process mining and related insight capabilities and a industry leader now.
Verified User
Supervisor
Chose Celonis
The key difference for me as the user and as an analyst is the ease with which Celonis allowed me to shape the analysis myself. Other tools rely on what an analyst created in hopes that it will serve the purpose to everybody. So many times, however, I find myself stuck, wishing …
Celonis' value proposition and unique features make me confident that we can drive real value through its use in our company. While other solutions can offer complementary capabilities, Celonis stands out as a complete suite of features that are helpful to improve our business. …
Celonis is helping [...] to gain greater transparency and control over complex business processes by connecting data across systems and revealing how work is actually executed. The platform supports proactive risk identification, value‑based process improvements, and more reliable delivery across the R&D value chain. With great support from the Celonis team in Copenhagen, we are enabling R&D teams to make data‑driven decisions, optimise performance, and continuously improve how [...] delivers value to patients.
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).
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.
Helping reduce the complexity to support adoption throughout the business - received feedback that Celonis can only be used by Celonis SMEs, as the interface looks too complex
Can we go faster with less? Both from the Celonis side and NN side feels like if we involved less stakeholders we could achieve more
To get the most from Celonis we need to get the people who are closest to the process comfortable enough so they can draw insights from themselves - Celonis are good are drawing insights, but naturally sometimes misses the business context
We have been able to leverage Celonis [greatly] because of the commitment and support we receive from our data scientist. I strongly believe that we would not be able to accomplish this without her assistance. Moreover, when we escalate matters, the product development is engaged and commits resources to make sure our initiatives/business cases are supported.
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.
It is a great tool but also requires a lot of work to get it into a useable fashion. Part of this is on our end as we don't have the dedicated analyst function yet to really become self-sufficient with Celonis. It also uncovers a lot of data issues or at the very least, multiple rounds of development and data validation are required before getting to a position where the business users feel comfortable with the data being reflected. This is fairly normal with any data-related development effort and perhaps not unique to Celonis.
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
We submit tickets to Celonis through product support. No assistance is generally provided, have to wait and the ticket is then escalated to product support in Germany. Many times we submit the ticket and the support desk asks us the same questions back where they should already have this information.
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.
The major reason to choose Celonis is that it has enhanced decision-making in filtering the candidates. The frontend designer has nice graphics and has well-designed self-service. I particularly enjoy the visual editor, which allows you to create complicated PQL without having to write any code, as well as the numerous filtering choices, including process mining options.
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.
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.
The previous IFRS 9 calculation method was reaching its end of life—Celonis is a direct replacement for us.
When rebuilding our logic from the old system to the new, it gave us a much-needed opportunity to revamp and standardise company codes and, in some cases, even pick up some errors.
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.
