We performed a comparison between IBM Watson Explorer and Salesforce Einstein Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."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."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"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."
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."
"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."
"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."
"The solution scales extremely well."
"The out-of-the-box features are good for companies that want to try analytics and data science interventions."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"We have found the scalability to be very good."
"Transparency is the most valuable feature of this solution."
"The tool is a cloud-based solution capable of integrating any kind of data in the world."
"The fact that the solution is visually appealing because of its lightning interfaces can be considered one of its most valuable features"
"It's scalable."
"The solution is expensive."
"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."
"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."
"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"
"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."
"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"
"Improvement-wise, I feel the solution must be more robust since it is not exactly ready to handle large data."
"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 have a lot of opportunity to improve BI tools. With Einstein Analytics, we have a very minimal scope."
"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."
"The product is natively integrated into the Salesforce ecosystem. You also need a CRM license. It should be more flexible with other platforms."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
"The tool needs to simplify its features."
"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."
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IBM Watson Explorer is ranked 9th in Data Mining while Salesforce Einstein Analytics is ranked 11th in BI (Business Intelligence) Tools with 18 reviews. IBM Watson Explorer is rated 8.4, while Salesforce Einstein Analytics is rated 8.2. The top reviewer of IBM Watson Explorer writes "Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them". On the other hand, the top reviewer of Salesforce Einstein Analytics writes "Helpful consistent measurements, high availability, and scales well". IBM Watson Explorer is most compared with Microsoft Power BI and Tableau, whereas Salesforce Einstein Analytics is most compared with Microsoft Power BI, Tableau, Databricks, SAP Analytics Cloud and Qlik Sense.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
