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IBM Watson Explorer vs Salesforce Einstein Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Watson Explorer
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Data Mining (10th)
Salesforce Einstein Analytics
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
21
Ranking in other categories
BI (Business Intelligence) Tools (19th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. IBM Watson Explorer is designed for Data Mining and holds a mindshare of 2.9%, up 0.5% compared to last year.
Salesforce Einstein Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.1% mindshare, down 1.2% since last year.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM Watson Explorer2.9%
IBM SPSS Modeler18.9%
IBM SPSS Statistics18.3%
Other59.900000000000006%
Data Mining
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Salesforce Einstein Analytics1.1%
Microsoft Power BI9.3%
Tableau Enterprise6.7%
Other82.9%
BI (Business Intelligence) Tools
 

Featured Reviews

it_user1319820 - PeerSpot reviewer
Lead Engineer at a computer software company with 10,001+ employees
A data analysis tool that is scalable and includes keyword search functionality
The solution is used for a government company for data collection and analysis I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer. I have been using the solution for five…
Sunny Nair - PeerSpot reviewer
Solution Architect And Senior Consultant at Keysight Technologies
Business insights improve with reliable integration but face occasional system downtimes
It is difficult to integrate the modules. The customization is also a little bit complex currently, but it is getting easier as they continue improving the market. 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 downtime which still affects the particular product. I would provide a reliability rating of 70%, with 30% still having scope for improvement.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."
"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."
"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."
"IBM has been working with Bradesco since 1968, I think, and the support is very good, with a team of 10 IBM employees working every day, 24 hours, inside the bank in Sao Paolo."
"Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."
"Previously we'd have a set of health and safety analysts who would be the key focal points for doing work to understand health and safety risks; so a very small number of people, but through WEX and through our Watson HSEQ solution, we've managed to get engagement across at least one-third of our workforce, so over 1,300 people, and a 25% reduction in health and safety incidents."
"The valuable feature of Watson Explorer for us is data entities, and being able to see hidden insights from within unstructured data."
"Implementing the solution really helped with manual labor, it takes care of a lot of FT work."
"It's scalable."
"The inbuilt features, like pictorial representation of the data and the ability to remap and realign the data, provide clarity in understanding sales perspectives."
"It is a comprehensive solution. It has everything in it. I can easily find what I need."
"Also, the predictive analysis of the Einstein version is like artificial intelligence, it's great."
"There is definitely a lot of ROI in it."
"The most valuable feature of Salesforce Einstein Analytics is the reporting tools."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"Easy to use User-friendly Not required to be technical for a user to use Creates reports and dashboards with simple clicks and drags and drops Scheduling data sync Can easily handle a huge amount of data without any crunch or crash."
 

Cons

"We haven't used it in production yet so I can't answer this."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough; setting Explorer requires experts, and the underlying platform is not that stable, so it really needs a good expert to keep it running."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary"
"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great, but I would just like to see more innovation done with the Watson platform."
"No, it's not yet stable."
"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."
"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"
"There are many things that have to be improved."
"The product must be more transparent."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
"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."
"When it comes to generating reports, it appears that many users rely on experts to handle technical aspects. For instance, if you require a weekly report displaying accounts transitioning in and out of your modules, it seems challenging to accomplish without consulting experts for assistance. Such tasks should be user-friendly and easily achievable without external assistance."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"The tool needs to simplify its features."
"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."
 

Pricing and Cost Advice

"The solution is expensive."
"Price-wise, Salesforce Einstein Analytics is an expensive tool."
"The biggest challenge we had was the cost and the licensing. We ended up getting an enterprise licensing agreement(ELA). That took a lot of negotiations and a lot of pressure. We were able to receive a good price for the community licensing they bundled Salesforce Einstein Analytics. They bundled a lot of capabilities with us with the ELA."
"The solution is expensive."
"Salesforce has a subscription-based licensing structure, where it's between $20 to $75 per month, per user."
"I rate the solution's pricing a seven out of ten."
"Salesforce Einstein Analytics can be considered somewhat expensive, depending on the company's needs. If they want the complete package with all the features, it's pricier. It all comes down to what the company requires from the platform."
"Although it was deemed slightly expensive and failed the cost analysis we conducted in our company, we proceeded with the purchase because we desired to have a leading CRM system in the industry."
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Top Industries

By visitors reading reviews
Performing Arts
12%
University
11%
Recreational Facilities/Services Company
9%
Healthcare Company
9%
Financial Services Firm
11%
Manufacturing Company
10%
Educational Organization
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise4
Large Enterprise12
 

Questions from the Community

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What do you like most about Salesforce Einstein Analytics?
The tool is valuable. It's one of the greatest programs I'm currently working with, and I believe it will continue to be crucial in the next four to five years. It's the future of our operations. I...
What needs improvement with Salesforce Einstein Analytics?
It is difficult to integrate the modules. The customization is also a little bit complex currently, but it is getting easier as they continue improving the market. There are certain glitches, espec...
What is your primary use case for Salesforce Einstein Analytics?
It is more of an integrated platform where marketing, customer service, and the ticketing system are integrated into each other as a SaaS-based solution, which is what we use. For Marketing Cloud, ...
 

Also Known As

IBM WEX
Einstein Analytics, Salesforce Wave Analytics
 

Overview

 

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
ADS Securities, Alstom Grid, American Express, Barclays Bank, Coca-Cola, CoderDojo, Dubai Multi Commodities Centre, Financial Conduct Authority
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: February 2026.
884,933 professionals have used our research since 2012.