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 has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The initial setup is pretty easy."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"The main features of the solution are efficiency."
"The ease of use and its accessibility are valuable."
"Automation with Databricks is very easy when using the API."
"he most valuable feature of the solution is its ease of use."
"The solution scales extremely well."
"The most valuable feature of Salesforce Einstein Analytics is the reporting tools."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"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. Integrating other systems and conducting campaigns is easy. The solution relies heavily on AI."
"The tool is a cloud-based solution capable of integrating any kind of data in the world."
"Tableau CRM is a very capable solution. It is easy to use, user-friendly, and integrates well."
"Einstein Analytics provides insights into what we are doing and how we are doing it. It tells us what benchmarks we need to hit consistently to achieve our goals. In sales, there is sometimes a disconnect between actions and objectives. We aren't necessarily going to close a deal because we call X number of people. There are some underlying skills that add nuance to these metrics."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"Databricks' technical support takes a while to respond and could be improved."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"The initial setup is difficult."
"It should have more compatible and more advanced visualization and machine learning libraries."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"Would be helpful to have additional licensing options."
"The product is expensive."
"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."
"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."
"Improvement-wise, I feel the solution must be more robust since it is not exactly ready to handle large data."
"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."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
"Einstein Analytics could incorporate something like SFIA 8 to help users understand the underlying skill sets."
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 12th 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, 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.
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