ClicData is a 100% cloud-based business intelligence platform that allows users to connect, process, blend, visualize and share data from a single place. As an automated platform, users are able to rely on the latest version of company data, to ensure users make the right decisions. Hundreds of data connectors ClicData has connectors that allow users to pull data automatically from hundreds of business applications and databases. Data warehousing and ETL…
$79
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
ClicData
Tableau Desktop
Editions & Modules
Premium
$79
per month
Team
$269
per month
Business
$525
per month
Enterprise
Custom Quote
Tableau Creator
$70.00
Per User / Per Month
Offerings
Pricing Offerings
ClicData
Tableau Desktop
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
$71 data volume, type of data source and level of automation
No setup fee
Additional Details
All plans include multiple users licenses but dashboards can be shared with external users via live links, no license needed.
Plans and pricing vary based on the data connectors, refreshes, and the level of automation needed.
A few hours of Expert Service are including in all plans but more hours can be purchased.
A white label option is also available for consultants and agencies.
All pricing plans are billed annually.
More Pricing Information
Community Pulse
ClicData
Tableau Desktop
Considered Both Products
ClicData
Verified User
Executive
Chose ClicData
We tried and trialed everything we could before choosing ClicData and there's two main points that ClicData is just absolutely head and shoulders above the rest. Most importantly it's by far the easiest to use. We had working dashboard giving us meaningful data and insight in …
We chose ClicData over some other options because it was cost-effective and relatively easy to implement. It didn't require a server to set-up or manage which was nice.
We used ClicData dashboards in a somewhat unorthodox way: we used "Indicators", or icons within tables to represent data, and the results looked great. The ability to integrate 3rd party HTML into dashboards was valuable (although Clic Data correctly warns that response time may suffer). The ability to start small and release dashboards incrementally suited our needs very well. We also valued the responsive account team getting us quickly pointed in the right direction.
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
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.
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.
Like I mentioned before, the ease of use means we not only get very quick results and beautiful dashboards in minutes, it means my team is actually using it because they aren't frustrated in the learning curve or wasting time trying to accomplish simple tasks.
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've only needed support a couple times in the beginning as we were learning the system and how to display our data in interesting ways. Every time we reached out we got very detailed responses and were connected to someone that you could tell was very interested in making sure we were happy with how things were going.
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
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.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
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.
ClicData was the most flexible. It is cloud-based and even has WebService access. You can publish your data for access from other applications. The sheer number of data connectors is amazing. The ability to not only create dashboards, but you can schedule them to be delivered to specific recipients on a scheduled basis via PDF or a static HTML page.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
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.