The ServiceNow Now Platform is a digital workflow building and extension tool for ServiceNow featuring a number of low-code / no code tools.
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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.
$75
per month
Pricing
ServiceNow Now Platform
Tableau Desktop
Editions & Modules
No answers on this topic
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
ServiceNow Now Platform
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
ServiceNow Now Platform
Tableau Desktop
Features
ServiceNow Now Platform
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
ServiceNow Now Platform
-
Ratings
Tableau Desktop
8.4
174 Ratings
3% above category average
Pixel Perfect reports
00 Ratings
8.1144 Ratings
Customizable dashboards
00 Ratings
8.9173 Ratings
Report Formatting Templates
00 Ratings
8.1150 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
ServiceNow Now Platform
-
Ratings
Tableau Desktop
8.2
171 Ratings
2% above category average
Drill-down analysis
00 Ratings
8.3166 Ratings
Formatting capabilities
00 Ratings
8.3169 Ratings
Integration with R or other statistical packages
00 Ratings
7.8125 Ratings
Report sharing and collaboration
00 Ratings
8.4164 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
ServiceNow Now Platform
-
Ratings
Tableau Desktop
8.1
165 Ratings
2% below category average
Publish to Web
00 Ratings
7.9154 Ratings
Publish to PDF
00 Ratings
7.7153 Ratings
Report Versioning
00 Ratings
7.9119 Ratings
Report Delivery Scheduling
00 Ratings
8.7127 Ratings
Delivery to Remote Servers
00 Ratings
8.277 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
ITSM is straight forward creation of Incidents and Requests. It can get more confusing as you layer more modules on top of it with event management, risk, project, etc. It also becomes more costly as everything is a different license. Integration between other external applications is very easy to do with their API. You can easily create endpoints for external apps to talk to or create REST messages for the platform to reach out directly.
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.
Providing admins/devs with easier mechanisms for providing businss stakeholders with self-service admin capabilities across the platform
Tutorials on how to be the best at reporting in servicenow
Guided tour functionaltiy is a bit rigid and could use more workflow capabilities
Making it easier to push form variables to the user so there is more context when providing an approval. The out of box approval UI/form is terrible in my opinion.
While we are very likely to renew, we are also assessing if we should renew all of what we currently subscribe to as we try to reduce costs. Some parts of the business feel there may be a better tool out there to fit their process requirements. We are currently working with them to identify what those requirements are to see if it makes sense while also pointing out a reduced cost of tooling is not always the best fit if we have an increased cost of customization and maintenance between tools.
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 provides a lot of modification options which is wonderful for certain team usage but becomes too much of a job when it comes to the Service Desk. Also on the app support side, since too much information can be carried, it affects the GUI and makes it complex.
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
The platform is provided as a SaaS solution and support from the vendor has been good. There are regular software releases with bug fixes, new features and enhancements, and furthermore we are given the opportunity to fully test these before rolling these new releases out into the production environment to minimise the risk of business disruption
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
We went through a re-implementation last year with a partner and were very pleased with the outcome. We looked at several partners and chose one that was able to provide an entire scope and cost upfront of what would be required to complete our requirements. We worked very closely with the dedicated team assigned to our project throughout the process and they fully delivered on all of our requirements that we presented in the initial scope.
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.
ServiceNow is by far a better tool over Remedy. Its ability to integrate so seamlessly to so many tools allows for plenty of opportunity to streamline and improve processes. Servicenow has intuitive flows that allow you to quickly pivot if process change. Its adaptiveness is what makes it far better solution over Remedy
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.
Our base managed service MSA is very clear and focused on our use of ITSM (ITIL role license). Other parts of the platform use some sort of transaction count licensing. This type of pricing does not work for an implementation of our scale.
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.
Very easy to use. Capture more data from the Incident and problem management. Easier to escalate and following the change management process to resole the issues.
Fast implementation of our Sales & Operation/Projects controls and process - tool adapted to our needs, not us to adapt to the tool.
Once we are a consulting/implementation company, our customers are happy to see that we use what we sell, and it is easy to show them how this platform/tool can have an impact on our own business.
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.