We performed a comparison between Salesforce Einstein Analytics and Tableau based on real PeerSpot user reviews.Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"It is a comprehensive solution. It has everything in it. I can easily find what I need."
"The solution scales extremely well."
"Transparency is the most valuable feature of this solution."
"The most valuable features of Salesforce Einstein Analytics are the flexibility around the deployment, overall capabilities, user-friendliness, and interactiveness with the tools that came built with it."
"The way Salesforce Einstein Analytics is structured in terms of the work assignments and the user profile is very good."
"Tableau CRM is a very capable solution. It is easy to use, user-friendly, and integrates well."
"We have found the scalability to be very good."
"The UI part is the best. The end-users can easily get started with Tableau Desktop or Tableau Online because of its user-friendliness."
"I really like the interactivity of the dashboards."
"Partner support is very good."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."
"Tableau is easy to use."
"The best use case for us is the solution's integration with Salesforce because we are also partners of Salesforce."
"The best thing I like about Tableau is that you don't have to go for creating; it is calculated free."
"There are some offerings like Sales Cloud, Service Cloud, and Marketing Cloud that have very useful online learning options. There need to be more avenues for self-learning with this particular solution. That would be useful."
"If I could improve Tableau CRM I would make it as powerful as Tableau. Tableau CRM is more integrated and it's on the web, but it has less functionality. It is lacking functionality at this time."
"They can provide more end-user customizations. There should be the possibility for the end-users to change some elements in the interface. I have a way of doing my job. My colleague may have his own way of doing his job. If I ask for a change, it'll change for everyone. It'll be good to have some end-user personalizations. I can't see many in Salesforce right now."
"I would advise others not to customize because they rolled out the newer versions, which are every six months. There had to be some significant testing and verification that happened. It is important to have a strong third-party provider that is very experienced. We used Deloitte, but we evaluated Accenture, KPMG, and IBM, but we decided on Deloitte and that was a good decision for us. Having a partner who has a center of excellence or experts that could give you a lot of the tips that they've learned could jumpstart your deployment and stick to the standards."
"All of the timesheets and appraisal management I have not been happy with. There should be some improvements. For example, as a management team, our managers do not have access to see a summary report, such as who is on leave today or how many hours each person logged in. You have to get into individual users and see. You cannot see a summary report, the reporting is missing. There should improve the reports."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"They have a lot of opportunity to improve BI tools. With Einstein Analytics, we have a very minimal scope."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"Implementation requires a technical background."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"Tableau support could be improved."
"I would like to have the product be more flexible in terms of creating online shared dashboards."
"The data preparation could integrate better with Tableau."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
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. Some of the most useful ones include:
There are many benefits to implementing Tableau. Some of the biggest advantages the solution offers include:
Reviews from Real Users
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.”
Salesforce Einstein Analytics is ranked 12th in BI (Business Intelligence) Tools with 8 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 95 reviews. Salesforce Einstein Analytics is rated 8.2, while Tableau is rated 8.2. The top reviewer of Salesforce Einstein Analytics writes "Effective interactions, flexible, and easy to use". On the other hand, the top reviewer of Tableau writes "Lets me train new users quickly, easily, and intuitively". Salesforce Einstein Analytics is most compared with Microsoft BI, Databricks, IBM Watson Explorer, SAP Analytics Cloud and MicroStrategy, whereas Tableau is most compared with Microsoft BI, Amazon QuickSight, SAS Visual Analytics, SAP Analytics Cloud and Domo. See our Salesforce Einstein Analytics vs. Tableau report.
See our list of best BI (Business Intelligence) Tools vendors.
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