Tableau and Salesforce Einstein Analytics are leaders in the business intelligence and analytics software market. Tableau stands out in data visualization and graphical representation, while Salesforce Einstein Analytics excels with its AI-driven predictive analytics capabilities. Based on specific needs such as ease of use or CRM integration, one may have an edge over the other.
Features: Tableau provides a user-friendly drag-and-drop interface ideal for creating interactive dashboards. It integrates seamlessly with numerous data sources, including Oracle and MySQL, and is renowned for its ease of use. Salesforce Einstein Analytics, on the other hand, shines with integrated AI capabilities for advanced predictive analytics, making it particularly strong within the Salesforce ecosystem. Its seamless CRM integration enhances customer data analytics, providing a valuable edge for enterprises using Salesforce.
Room for Improvement: Tableau users cite the need for improved ETL capabilities and scalability, particularly with large datasets, while pricing complexity is also a concern. Users report Salesforce Einstein Analytics as being cost-prohibitive, with a need for feature simplification and enhanced compatibility with non-Salesforce platforms, affecting broader adoption particularly for small businesses.
Ease of Deployment and Customer Service: Tableau offers flexible deployment options across various cloud environments, supported by a robust user community, though standard customer support is considered less comprehensive than premium services. Salesforce Einstein Analytics is effectively deployed in public and private clouds, integrating strongly with Salesforce CRM. However, its integration flexibility outside the Salesforce system is limited. Customer service receives mixed feedback, paralleling Tableau's support experience.
Pricing and ROI: Tableau's pricing is perceived as higher than competitors like Power BI but is justified by many due to its visualization capabilities and resulting high ROI. Salesforce Einstein Analytics is similarly viewed as an expensive option, with high initial costs potentially offset by substantial insights and streamlined user experience within Salesforce, provided these costs are sustainable.
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.
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 is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.
Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.
Tableau has many valuable key features:
Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:
Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.
Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”
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