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 solution is very easy to use."
"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."
"Automation with Databricks is very easy when using the API."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The main features of the solution are efficiency."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"Tableau CRM is a very capable solution. It is easy to use, user-friendly, and integrates well."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"We have found the scalability to be very 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 way Salesforce Einstein Analytics is structured in terms of the work assignments and the user profile is very good."
"The out-of-the-box features are good for companies that want to try analytics and data science interventions."
"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."
"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."
"Databricks can improve by making the documentation better."
"It's not easy to use, and they need a better UI."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"Can be improved by including drag-and-drop features."
"It should have more compatible and more advanced visualization and machine learning libraries."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"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."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"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."
"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 must be more transparent."
"The price of Salesforce Einstein Analytics is quite a bit expensive for the region of Mexico. I think the price of the product could be better."
"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."
"The product is natively integrated into the Salesforce ecosystem. You also need a CRM license. It should be more flexible with other platforms."
"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."
"They have a lot of opportunity to improve BI tools. With Einstein Analytics, we have a very minimal scope."
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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