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)
Zoho DataPrep
Score 10.0 out of 10
N/A
Zoho DataPrep is an ETL platform with advanced data preparation capabilities that help move, cleanse, transform and enrich data quality.
$0
per month for processing 20,000 rows per month
Pricing
Tableau Desktop
Zoho DataPrep
Editions & Modules
Tableau Creator License
$115
per month (billed annually) per user
Standard
$50
per month 3 users
Enterprise
Contact Sales
Starts from 100 Million scales to billions of rows per month & 10 users
Offerings
Pricing Offerings
Tableau Desktop
Zoho DataPrep
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
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.
20% discount for annual pricing.
More Pricing Information
Community Pulse
Tableau Desktop
Zoho DataPrep
Features
Tableau Desktop
Zoho DataPrep
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Tableau Desktop
8.5
175 Ratings
4% above category average
Zoho DataPrep
-
Ratings
Pixel Perfect reports
8.0145 Ratings
00 Ratings
Customizable dashboards
9.2174 Ratings
00 Ratings
Report Formatting Templates
8.1151 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Tableau Desktop
8.5
172 Ratings
6% above category average
Zoho DataPrep
-
Ratings
Drill-down analysis
8.6167 Ratings
00 Ratings
Formatting capabilities
8.5170 Ratings
00 Ratings
Integration with R or other statistical packages
8.1126 Ratings
00 Ratings
Report sharing and collaboration
8.6165 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Tableau Desktop
8.5
166 Ratings
3% above category average
Zoho DataPrep
-
Ratings
Publish to Web
8.1155 Ratings
00 Ratings
Publish to PDF
8.2154 Ratings
00 Ratings
Report Versioning
8.6120 Ratings
00 Ratings
Report Delivery Scheduling
8.6128 Ratings
00 Ratings
Delivery to Remote Servers
8.978 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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).
Scenarios where it works well: 1. Preparing reports like CRM, Marketing, and sales for monthly reports. 2. Cleaning CSV files with inconsistent format 3. Removing of duplicates and finding error values 4. Enabling non-technical people to manage data preparation without coding. Scenarios where it is less appropriate: 1. Processing real time data and large scale data needs 2. Deep customization at code level 3. At advanced predictive modeling
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.
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.
I would rate Zoho DataPrep a 10/10 for its usability because I feel it is very easy and intuitive platform and even non-technical people can access it easily without coding knowledge. Also, its workflow builder is very straightforward, once we create any data pipeline then we can reuse it easily.
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.
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.
Zoho DataPrep is much easier to use and quick to set up. It user interface is very user friendly, even people with no technical knowledge can use it easily to transform the data. It creates the repeatable workflows easily and more cost-effective for small to mid-size teams. We selected it because it aligns with our business needs and goals perfectly like fast, easy, and efficient for everyday use.
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.