Try our new research platform with insights from 80,000+ expert users

Anaconda Business vs Salesforce Einstein Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Anaconda Business
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
19
Ranking in other categories
Data Science Platforms (11th)
Salesforce Einstein Analytics
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
21
Ranking in other categories
BI (Business Intelligence) Tools (12th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Anaconda Business is designed for Data Science Platforms and holds a mindshare of 2.4%, up 2.1% compared to last year.
Salesforce Einstein Analytics, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.0% mindshare, down 1.5% since last year.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Anaconda Business2.4%
Databricks14.5%
KNIME Business Hub12.3%
Other70.8%
Data Science Platforms
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Salesforce Einstein Analytics1.0%
Microsoft Power BI14.5%
Tableau Enterprise11.0%
Other73.5%
BI (Business Intelligence) Tools
 

Featured Reviews

Rohan Sharma - PeerSpot reviewer
Provides all the frameworks and makes it easy to create environments for multiple projects
The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.
Sunny Nair - PeerSpot reviewer
Business insights improve with reliable integration but face occasional system downtimes
It is difficult to integrate the modules. The customization is also a little bit complex currently, but it is getting easier as they continue improving the market. There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline. There is downtime which still affects the particular product. I would provide a reliability rating of 70%, with 30% still having scope for improvement.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"The virtual environment is very good."
"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."
"I can use Anaconda for non-heavy tasks."
"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"It helped us find find the optimal area for where our warehouse should be located."
"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."
"he most valuable feature of the solution is its ease of use."
"The most valuable feature of Salesforce Einstein Analytics is the reporting tools."
"The fact that the solution is visually appealing because of its lightning interfaces can be considered one of its most valuable features"
"The out-of-the-box features are good for companies that want to try analytics and data science interventions."
"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."
"The way Salesforce Einstein Analytics is structured in terms of the work assignments and the user profile is very good."
"The inbuilt features, like pictorial representation of the data and the ability to remap and realign the data, provide clarity in understanding sales perspectives."
 

Cons

"When you install Anaconda for the first time, it's really difficult to update it."
"It also takes up a lot of space."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The solution would benefit from offering more automation."
"Anaconda can't handle heavy workloads."
"Anaconda consumes a significant amount of processing memory when working on it."
"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."
"There is a learning curve associated with Salesforce Einstein Analytics, particularly since users need to learn a new language."
"The tool needs to simplify its features."
"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."
"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."
"Salesforce is working very rigorously on improvements with each release."
"The product must be more transparent."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"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."
 

Pricing and Cost Advice

"The licensing costs for Anaconda are reasonable."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"The tool is open-source."
"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."
"Price-wise, Salesforce Einstein Analytics is an expensive tool."
"I rate the solution's pricing a seven out of ten."
"The solution is expensive."
"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."
"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."
"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."
"Salesforce has a subscription-based licensing structure, where it's between $20 to $75 per month, per user."
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
867,676 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
8%
Insurance Company
7%
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
9%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise2
Large Enterprise10
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise4
Large Enterprise12
 

Questions from the Community

What do you like most about Anaconda?
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.
What is your experience regarding pricing and costs for Anaconda?
Anaconda is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.
What needs improvement with Anaconda?
There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools.
What do you like most about Salesforce Einstein Analytics?
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. I...
What needs improvement with Salesforce Einstein Analytics?
It is difficult to integrate the modules. The customization is also a little bit complex currently, but it is getting easier as they continue improving the market. There are certain glitches, espec...
What is your primary use case for Salesforce Einstein Analytics?
It is more of an integrated platform where marketing, customer service, and the ticketing system are integrated into each other as a SaaS-based solution, which is what we use. For Marketing Cloud, ...
 

Also Known As

No data available
Einstein Analytics, Salesforce Wave Analytics
 

Overview

 

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
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: August 2025.
867,676 professionals have used our research since 2012.