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 like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The solution offers a free community version."
"It's great technology."
"The initial setup is pretty easy."
"The simplicity of development is the most valuable feature."
"We have the ability to scale, collaborate and do machine learning."
"It's very simple to use Databricks Apache Spark."
"We have found the scalability to be very 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."
"The tool is a cloud-based solution capable of integrating any kind of data in the world."
"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."
"It's scalable."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"Transparency is the most valuable feature of this solution."
"The solution scales extremely well."
"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."
"Implementation of Databricks is still very code heavy."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"Databricks could improve in some of its functionality."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"The tool needs to simplify its features."
"The product must be more transparent."
"The product is expensive."
"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."
"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."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
"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."
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.
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.
