We performed a comparison between Databricks and Salesforce Einstein Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"Databricks' most valuable feature is the data transformation through PySpark."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The initial setup phase of Databricks was good."
"The setup is quite easy."
"It's great technology."
"We can scale the product."
"I like cloud scalability and data access for any type of user."
"It is a comprehensive solution. It has everything in it. I can easily find what I need."
"The tool is a cloud-based solution capable of integrating any kind of data in the world."
"Transparency is the most valuable feature of this solution."
"Tableau CRM is a very capable solution. It is easy to use, user-friendly, and integrates 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."
"The fact that the solution is visually appealing because of its lightning interfaces can be considered one of its most valuable features"
"The solution scales extremely well."
"I would like it if Databricks made it easier to set up a project."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"There should be better integration with other platforms."
"Would be helpful to have additional licensing options."
"I have seen better user interfaces, so that is something that can be improved."
"It should have more compatible and more advanced visualization and machine learning libraries."
"The pricing of Databricks could be cheaper."
"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 expensive."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"The tool needs to simplify its features."
"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."
"The product must be more transparent."
"Einstein Analytics could incorporate something like SFIA 8 to help users understand the underlying skill sets."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
More Salesforce Einstein Analytics Pricing and Cost Advice →
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Salesforce Einstein Analytics is ranked 11th in BI (Business Intelligence) Tools with 18 reviews. Databricks is rated 8.2, while Salesforce Einstein Analytics is rated 8.2. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Salesforce Einstein Analytics writes "Helpful consistent measurements, high availability, and scales well". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Salesforce Einstein Analytics is most compared with Microsoft Power BI, Tableau, SAP Analytics Cloud, IBM Watson Explorer and Qlik Sense.
We monitor all Data Science Platforms 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.
