Anaconda vs Salesforce Einstein Analytics comparison

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Anaconda Logo
2,604 views|1,970 comparisons
94% willing to recommend
Salesforce Logo
4,227 views|2,046 comparisons
85% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The documentation is excellent and the solution has a very large and active community that supports it.""It helped us find find the optimal area for where our warehouse should be located.""It has a lot of functionality available, supports many libraries, and the developers are continually improving it.""Voice Configuration and Environmental Management Capabilities are the most valuable features.""The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.""The solution is stable.""It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science.""The notebook feature is an improvement over RStudio."

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"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.""he most valuable feature of the solution is its ease of use.""Transparency is the most valuable feature of this solution.""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.""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."

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Cons
"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.""It also takes up a lot of space.""I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""Anaconda should be optimized for RAM consumption.""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."

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"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.""They have a lot of opportunity to improve BI tools. With Einstein Analytics, we have a very minimal scope.""If a user leaves your organization, you shouldn't lose the visibility of all of the records.""Improvement-wise, I feel the solution must be more robust since it is not exactly ready to handle large data.""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.""The product must be more transparent.""The product is expensive."

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Pricing and Cost Advice
  • "The licensing costs for Anaconda are reasonable."
  • "The product is open-source and free to use."
  • "My company uses the free version of the tool. There is also a paid version of the tool available."
  • "The tool is open-source."
  • "Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
  • More Anaconda Pricing and Cost Advice →

  • "Salesforce has a subscription-based licensing structure, where it's between $20 to $75 per month, per user."
  • "The biggest challenge we had was the cost and the licensing. We ended up getting an enterprise licensing agreement(ELA). That took a lot of negotiations and a lot of pressure. We were able to receive a good price for the community licensing they bundled Salesforce Einstein Analytics. They bundled a lot of capabilities with us with the ELA."
  • "Although it was deemed slightly expensive and failed the cost analysis we conducted in our company, we proceeded with the purchase because we desired to have a leading CRM system in the industry."
  • "Price-wise, Salesforce Einstein Analytics is an expensive tool."
  • "I rate the solution's pricing a seven out of ten."
  • "The solution is expensive."
  • "Salesforce Einstein Analytics can be considered somewhat expensive, depending on the company's needs. If they want the complete package with all the features, it's pricier. It all comes down to what the company requires from the platform."
  • More Salesforce Einstein Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.
    Top Answer:Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks, which can be expensive. It works on all systems and is not subscription-based.
    Top Answer:A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area. Maybe a graphical user interface where we can just… more »
    Top Answer: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… more »
    Top Answer:We use Service Cloud. We use it to classify the cases and get the escalation scores correctly. We also use it for knowledge management. We have multiple use cases.
    Ranking
    13th
    Views
    2,604
    Comparisons
    1,970
    Reviews
    4
    Average Words per Review
    391
    Rating
    8.8
    Views
    4,227
    Comparisons
    2,046
    Reviews
    9
    Average Words per Review
    428
    Rating
    8.7
    Comparisons
    Also Known As
    Einstein Analytics, Salesforce Wave Analytics
    Learn More
    Overview

    Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

    Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

    Salesforce Einstein Analytics is a customer and business analytics platform that’s optimized for mobile use and brings flexible customer analytics to everyone in the company. It works with many types of data, from many data sources, and it can change the way your company answers critical questions. Einstein Analytics allows you to:

    • Connect directly to your CRM data and execute on insights directly in Chatter.
    • Automatically analyze millions of rows of data and get predictive analytics with Einstein Discovery.
    • Explore data quickly and automate actions with prebuilt apps.
    • Use mobile to act, whether you're on Android or iOS.
    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    ADS Securities, Alstom Grid, American Express, Barclays Bank, Coca-Cola, CoderDojo, Dubai Multi Commodities Centre, Financial Conduct Authority
    Top Industries
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Non Tech Company9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company9%
    Government9%
    Manufacturing Company6%
    REVIEWERS
    Computer Software Company30%
    Healthcare Company20%
    Financial Services Firm20%
    Government10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm12%
    Manufacturing Company7%
    University5%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise5%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business30%
    Midsize Enterprise20%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise12%
    Large Enterprise65%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    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.

    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.