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."I haven't heard about any major stability issues. At this time I feel like it's stable."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"It's very simple to use Databricks Apache Spark."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"The solution is very easy to use."
"The solution offers a free community version."
"The main features of the solution are efficiency."
"It's great technology."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"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."
"Tableau CRM is a very capable solution. It is easy to use, user-friendly, and integrates well."
"The way Salesforce Einstein Analytics is structured in terms of the work assignments and the user profile is very good."
"The most valuable feature of Salesforce Einstein Analytics is the reporting tools."
"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 solution scales extremely well."
"It is a comprehensive solution. It has everything in it. I can easily find what I need."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"A lot of people are required to manage this solution."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"The integration and query capabilities can be improved."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"The tool needs to simplify its features."
"The product is expensive."
"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."
"Einstein Analytics could incorporate something like SFIA 8 to help users understand the underlying skill sets."
"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."
"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."
"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 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.
