Salesforce Revenue Cloud (formerly Salesforce CPQ or SteelBrick) is built and delivered on the Salesforce Platform and Salesforce1 Mobile App which enables users to create accurate sales quotes quickly and submit error-free orders on the fly from any device.
$30
Per User 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.
$75
per month
Pricing
Salesforce Revenue Cloud
Tableau Desktop
Editions & Modules
Basic
$30
Per User per Month
Professional
$50
Per User per Month
Enterprise
$75
Per User per Month
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
Salesforce Revenue Cloud
Tableau Desktop
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
No setup fee
Additional Details
—
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Salesforce Revenue Cloud
Tableau Desktop
Features
Salesforce Revenue Cloud
Tableau Desktop
CPQ
Comparison of CPQ features of Product A and Product B
Salesforce Revenue Cloud
7.7
32 Ratings
12% below category average
Tableau Desktop
-
Ratings
Quote sharing/sending
7.931 Ratings
00 Ratings
Product configuration
5.132 Ratings
00 Ratings
Configuration options
5.130 Ratings
00 Ratings
Pricing rules
8.029 Ratings
00 Ratings
Price adjustment
8.031 Ratings
00 Ratings
Purchase history and open contracts
8.924 Ratings
00 Ratings
Guided selling/Sales portal
6.120 Ratings
00 Ratings
CPQ reporting & analytics
8.924 Ratings
00 Ratings
CPQ-CRM integration
9.929 Ratings
00 Ratings
Attachments to quotes
8.931 Ratings
00 Ratings
Order capturing
8.014 Ratings
00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Salesforce Revenue Cloud
-
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
Salesforce Revenue Cloud
-
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
Salesforce Revenue Cloud
-
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
What I like best is the ease of use to be able to track all opportunities and quotes in my daily sales tracker I also like the fact that you can reorganize the view for your opportunities. For instance, it is very similar to a spreadsheet where you can filter them by date, dollar amount, name, and several other ways. I found this to be less appropriate when we have to do multiple roles while assigning one task to multiple users. Column resizing within the Quote Line Editor is not supported in the Salesforce mobile app.
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).
Salesforce CPQ easily maps to standard and custom fields within the opportunity in SFDC, allowing you to avoid time spent duplicating effort or copying and pasting deal criteria.
Salesforce CPQ connects directly to pre-determined price book, making it very easy to provide a proposal based on standard cost and/or add discounts to standard cost and reflect those reductions on the order form as appropriate.
Salesforce CPQ provides the ability for administrators to configure workflows for approval based on certain discount %'s on the standard cost, offering a quick and easy way to route automatically through the organization for approval.
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 Salesforce is very messy, which tells me it's not super easy to clean up.
I always have a really hard time removing a contacts from an account - it seems like you can't simply remove the relationship so we have lots of people named DO NOT CONTACT or things of that nature.
Sometimes when saving it doesn't seem like things actually save.
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
There have been some issues with multi-year pricing of certain products and services which we have been assured will be resolved but I guess are still underway, the support team apart from this has not been needed much and in the rare scenarios, it has been needed the resolutions of conflicts has been prompt and quick, so the overall support would have my high regards for being so helpful and customer-oriented so as to assure good performance of their toolset and customer satisfaction.
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.
There is no comparison to a fully functional instance of CPQ. Nothing comes close due to the amount of customization and ease of use that CPQ offers once it's fully built out. Other solutions may be easier to build or administer, but for the users and business needs, CPQ is the best solution possible.
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.
Salesforce CPQ has helped a lot with overall visibility to the quote to order process. Reps have more insight into the business and the business has more insight into Sales Rep interactions. This makes troubleshooting issues much easier.
Our reporting capabilities have improved immensely. The ability to easily create fields allows you to capture new data points very easily.
Communication in Salesforce CPQ and Salesforce, in general, is a big improvement for our business. The ability to have a chatter feed on any object is very helpful. This can also be used for feed tracking to give some basic change management controls/history.
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.