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."It's great technology."
"I like cloud scalability and data access for any type of user."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"It's very simple to use Databricks Apache Spark."
"We can scale the product."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The solution scales extremely well."
"The out-of-the-box features are good for companies that want to try analytics and data science interventions."
"It's scalable."
"It is a comprehensive solution. It has everything in it. I can easily find what I need."
"The most valuable feature of Salesforce Einstein Analytics is the reporting tools."
"The way Salesforce Einstein Analytics is structured in terms of the work assignments and the user profile is very good."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"Transparency is the most valuable feature of this solution."
"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 pricing of Databricks could be cheaper."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"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."
"There is room for improvement in visualization."
"Anyone who doesn't know SQL may find the product difficult to work with."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"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 is expensive."
"The tool needs to simplify its features."
"Improvement-wise, I feel the solution must be more robust since it is not exactly ready to handle large data."
"Einstein Analytics could incorporate something like SFIA 8 to help users understand the underlying skill sets."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"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."
"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."
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.
