Nexthink is a SaaS provider headquartered in Lausanne, that provides a digital workplace experience management software solution that combines real-time analytics, instant remediation, automation and employee feedback across endpoints and applications.
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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
Nexthink
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
Nexthink
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Required
No setup fee
Additional Details
—
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Nexthink
Tableau Desktop
Considered Both Products
Nexthink
Verified User
Engineer
Chose Nexthink
Nexthink is more than an APM, and can easily provide (to support) CMDB processes a la Servicenow Discovery, so we decided to go with them.
I've been managing desktops for 20+ years and Nexthink was the missing tool out of my toolbox. Just to give some perspective, if you were building and maintaining a house, Nexthink would be comparable to switching up from a hammer and nails and to full blown using a nailgun. Nexthink is a solution accelerator and a well thought out toolset to give you the customer experience at a glance. It allows for so much more visibility just with the default set of data points the Collector (agent) gathers, which is A LOT, and grants you the ability to gather even more data with remote actions. All of this evidence cuts how the "it could possibly be this" and "maybe it's that" discussions when you're troubleshooting an issue. It may not provide the exact answer all the time, but it gives you a "compass point" on where you need to start looking to resolve the issue. Also the service monitoring, activity monitoring, and critical event thresholds really empower the teams to know when a problem is happening and they can get ahead of it before the first call even reaches the Help Desk. Nexthink is a cornerstone tool in our environment for end user experience and I'm excited to see where the go next.
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.
The on-premise solution can be slow at times and resource-demanding even on newer laptops. (This isn't the case with the cloud offering.)
Some useful features are only available to cloud customers.
Library pack configuration could be made easier, often these packs require some customization and it's not always clear how to get them up and running after importing.
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.
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
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.
Nexthink had better integration and a better user interface. 1E did not have the engagement capability which is so critical to many of the actions we complete using Nexthink. Nexthink had better trending data capabilities. 1E did not capture and hold data the way Nexthink does so all data assumes you are able to pull information from all systems at any time. with remote systems it is unlikely you will capture all systems at the same time so it makes any actions less effective. this review was performed 4 years ago so 1E may have addressed some of these limitations but Nexthink has also grown and continues to add and improve on their industry-leading capabilities.
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.
SCCM proactive remediation: Automatically resolving hundreds of SCCM issues per month
Hardware: Identification of over $5m cost avoidance by seeing a lack of usage for 128GB SSDs - no need to upgrade to 256GB... coupled with OneDrive migration packs in the Nexthink library this is valuable.
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.
