Salesforce Marketing Cloud Engagement (formerly Salesforce Experience Cloud or Salesforce Community Cloud) is an online forum powered by Salesforce that enables businesses to connect with their employees, customers, partner organizations, and prospects. Designed to help facilitate communication and information sharing, customers can ask questions and request help, administrators can integrate data from third-party apps, and employees can collaborate across projects and…
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Tableau Desktop
Score 8.4 out of 10
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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)
Pricing
Salesforce Experience Cloud
Tableau Desktop
Editions & Modules
No answers on this topic
Tableau Creator License
$115
per month (billed annually) per user
Offerings
Pricing Offerings
Salesforce Experience Cloud
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
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.
More Pricing Information
Community Pulse
Salesforce Experience Cloud
Tableau Desktop
Considered Both Products
Salesforce Experience Cloud
Verified User
Director
Chose Salesforce Experience Cloud
Yeah, so we've utilized a few different evaluations of products. Most of them are website or WordPress base, intranet, hidden backend applications. It's just because all the data we have already and we have multiple experience clouds, it allows us to leverage SSO or single …
For well-suited, this product is great for your external clientele groups that you would not necessarily want to have a high user fee rate for. So basically general public or a group that will be authorized to come in and just do a few things here and there, but you don't necessarily want them access to all of your systems and your data points for groups that it would not be a great use for. I'd say probably your high level internal staff, they're going to be using a lot of the backend functionality automations, evaluating data, managing data, and doing custom inputs. That's just not what's intended for.
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).
Easy to use, just like Salesforce's other products. Many users can sit down and figure it out in no time, and with a little training become power users.
Fast and secure - Salesforce is a leader in the cloud world so you get consistently fast results and security that is top notch in the industry.
Accessible from anywhere - if you use cloud CMS already this is a no-brainer, but for those that do in-house CMS still, this is a major difference. Mobile access from anywhere on the planet without a VPN is something you just can't do without the cloud.
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.
Unlike other CMS platforms like Wordpress and Adobe Experience Manager, Salesforce does not provide a fully featured editor with a drag-and-drop design tool.
Our content creators and marketing team often struggle with permissions and how to distribute content across different experience cloud sites.
Also, there is no side-to-side comparison view for content editors to update the content easily.
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.
Strengths: - Intuitive for Salesforce Users – If you’re already working within the Salesforce ecosystem, the Salesforce CMS is easy to navigate, with a clean UI, drag-and-drop content management, and reusable assets for quick updates. - Seamless Integration – Since it connects natively with Experience Cloud, Marketing Cloud, and CRM, it allows for efficient multi-channel content distribution without needing extra third-party tools. - AI-Powered Personalization – The ability to deliver dynamic content based on user profiles and engagement data is a huge plus, making content delivery more relevant and impactful. Challenges: - Learning Curve for New Users – If you're not already familiar with Salesforce, the interface can feel overwhelming, requiring training to fully leverage all features. - Limited Customization & Workflow Automation – While it works well for structured content, advanced approval workflows and deep editorial customization are limited compared to enterprise CMS platforms like Adobe Experience Manager. - Media & Design Limitations – Salesforce CMS is not as robust for managing rich media-heavy content, which can be frustrating for teams needing more flexibility in multimedia presentation.
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.
Again, since we provide and recommend solutions, I can't speak to every client's individual experience, but can offer general reflections as to keep their collaborations private, that they are satisfied with the experience. We hear a lot about how this system helps to encourage collaborations between their own business partners, customers, and internal members, and enables quality integrations with other products that help drive revenue.
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
Although support from Salesforce itself can be quite unresponsive sometimes, the community hub is incredibly helpful. The large user base of Salesforce products contribute to troubleshooting and the forums are a powerful tool for finding solutions and possible bugs and response times can be quite fast compared to your regular support channels.
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.
Salesforce Experience Cloud was selected due to its tight integration with our existing Salesforce CRM platform. Customization of the portal was much, much simpler compared to Sharepoint - especially with role-based security parameters that are ultimately inherited based on attributes within the Salesforce CRM platform. Salesforce Experience Cloud was a natural fit for this customer-facing purpose.
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.
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.
