We performed a comparison between Anaconda 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 virtual environment is very good."
"The solution is stable."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The most advantageous feature is the logic building."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"The notebook feature is an improvement over RStudio."
"It helped us find find the optimal area for where our warehouse should be located."
"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."
"The way Salesforce Einstein Analytics is structured in terms of the work assignments and the user profile is very good."
"We have found the scalability to be very good."
"It is a comprehensive solution. It has everything in it. I can easily find what I need."
"Transparency is the most valuable feature of this solution."
"The fact that the solution is visually appealing because of its lightning interfaces can be considered one of its most valuable features"
"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."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"When you install Anaconda for the first time, it's really difficult to update it."
"Anaconda can't handle heavy workloads."
"Anaconda should be optimized for RAM consumption."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"The tool needs to simplify its features."
"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."
"The product is expensive."
"The product is natively integrated into the Salesforce ecosystem. You also need a CRM license. It should be more flexible with other platforms."
"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."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
"The product must be more transparent."
"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."
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Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Salesforce Einstein Analytics is ranked 12th in BI (Business Intelligence) Tools with 18 reviews. Anaconda is rated 8.0, while Salesforce Einstein Analytics is rated 8.2. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of Salesforce Einstein Analytics writes "Helpful consistent measurements, high availability, and scales well". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Salesforce Einstein Analytics is most compared with Microsoft Power BI, Tableau, Databricks, SAP Analytics Cloud and IBM Watson Explorer.
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