Tableau Enterprise and Salesforce Einstein Analytics compete in the business intelligence and data analytics category. Tableau Enterprise appears to have the upper hand due to its extensive data source integration and rich graphical capabilities.
Features: Tableau Enterprise provides flexible data visualization tools with a user-friendly drag-and-drop interface, enabling users to create interactive dashboards. It integrates with various data sources such as Excel, SQL, and cloud-based databases. Salesforce Einstein Analytics excels in integrating predictive insights within the Salesforce ecosystem, offering cloud deployment for seamless operations.
Room for Improvement: Tableau Enterprise users have noted its high cost and complex deployment process, as well as performance issues with large datasets. There is also a need for enhanced ETL capabilities. Salesforce Einstein Analytics could improve its cost structure, particularly for small businesses, and enhance integration with non-Salesforce platforms while providing more transparency on AI model implementations.
Ease of Deployment and Customer Service: Tableau Enterprise offers a wide range of deployment options, including on-premises and cloud environments, supported by a strong online community and documentation, though direct support may be slow. Salesforce Einstein Analytics boasts tight cloud-based integration with the Salesforce infrastructure, generally receiving positive feedback for customer service, although users sometimes find customization challenging.
Pricing and ROI: Tableau Enterprise is recognized for its high price, potentially making it unsuitable for smaller companies, yet it often provides rapid ROI through improved analytics. Salesforce Einstein Analytics is also seen as expensive, with pricing scaling according to chosen features. However, it is valued by Salesforce users for its integration, providing justification for its cost through enhanced decision-making and resource management capabilities.
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 | 6.2% |
| Salesforce Einstein Analytics | 1.1% |
| Other | 92.7% |
| 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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