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."The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The initial setup is pretty easy."
"The simplicity of development is the most valuable feature."
"The solution is very easy to use."
"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."
"It's great technology."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"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 out-of-the-box features are good for companies that want to try analytics and data science interventions."
"It is a comprehensive solution. It has everything in it. I can easily find what I need."
"he most valuable feature of the solution is its ease of use."
"We have found the scalability to be very good."
"The way Salesforce Einstein Analytics is structured in terms of the work assignments and the user profile is very good."
"The solution scales extremely well."
"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."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."
"There is room for improvement in the documentation of processes and how it works."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"There should be better integration with other platforms."
"Pricing is one of the things that could be improved."
"Doesn't provide a lot of credits or trial options."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"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."
"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."
"They have a lot of opportunity to improve BI tools. With Einstein Analytics, we have a very minimal scope."
"The product is natively integrated into the Salesforce ecosystem. You also need a CRM license. It should be more flexible with other platforms."
"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."
"Improvement-wise, I feel the solution must be more robust since it is not exactly ready to handle large data."
"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."
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, Dremio and Microsoft Azure Machine Learning Studio, 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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