

Tableau Enterprise and Salesforce Einstein Analytics both compete in the analytics category. Tableau Enterprise appears to have the upper hand due to its extensive graphical representation capabilities and user interface.
Features: Tableau Enterprise is known for its wide range of graphical representations, seamless data source integration, and intuitive drag-and-drop analytics. It allows for easy data blending and creating parameter-driven reports. Salesforce Einstein Analytics excels in its integration within the Salesforce ecosystem and offers AI-powered analytics, providing real-time data insights and predictive capabilities.
Room for Improvement: Tableau Enterprise could benefit from enhanced ETL functionality, better metadata solutions, and improved performance with large datasets, especially on the server side. It also needs better support for hierarchical data processing and advanced analytics integration like machine learning. Salesforce Einstein Analytics requires easier integration with non-Salesforce platforms and greater transparency in algorithm usage. Simplifying user customization features and managing large datasets are areas that need attention.
Ease of Deployment and Customer Service: Tableau Enterprise provides varied deployment options, including on-premises, private, and public cloud, appreciated for its flexibility. Salesforce Einstein Analytics operates on a robust cloud-oriented infrastructure. Tableau receives positive feedback for community support and technical assistance, although support for complex issues can be lacking. Salesforce's customer service is well-received, but consistency across different customer tiers could be improved.
Pricing and ROI: Tableau Enterprise is seen as a premium option with costly licensing models, particularly for smaller enterprises, but offers tangible ROI through time savings and better data exploration. Salesforce Einstein Analytics follows a high-cost subscription-based model but provides compelling ROI for organizations deeply integrated with Salesforce, though both solutions could benefit from more competitive pricing models to enhance accessibility.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
Tech support for Salesforce Einstein Analytics is generally good.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
There is a learning curve associated with Salesforce Einstein Analytics, particularly since users need to learn a new language.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
A benefit is that the pricing is available online, ensuring there are no hidden costs.
In general, I would rate it as a little bit on the expensive side compared to other available options.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
It allows for a personalized customer experience by providing insights.
Their machine learning model, which they have integrated, provides us with accurate data and creates projection maps.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
| Product | Market Share (%) |
|---|---|
| Tableau Enterprise | 6.7% |
| Salesforce Einstein Analytics | 1.0% |
| Other | 92.3% |


| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 67 |
| Large Enterprise | 184 |
Salesforce Einstein Analytics is a customer and business analytics platform that’s optimized for mobile use and brings flexible customer analytics to everyone in the company. It works with many types of data, from many data sources, and it can change the way your company answers critical questions. Einstein Analytics allows you to:
Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.
Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.
What are the most valuable features?Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.
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