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:
 

ROI

Sentiment score
6.0
Anaconda Business boosts productivity and cost savings by reducing downtime, errors, and environment issues, enhancing efficiency.
Sentiment score
6.2
Salesforce Einstein Analytics offers varied ROI, showing quick returns for some users, while others face challenges due to implementation or company size.
Everyone being able to work smoothly without unnecessary delays.
tester at a tech vendor with 10,001+ employees
I have seen a return on investment; specifically, when we talk about efficiency, it's both time-saving and money-saving.
Product managaer at Zidio development
I have seen a return on investment with time saved by 50% and less downtime, allowing the team to deliver projects faster with fewer errors.
Analyst at Tata consultancy services
 

Customer Service

Sentiment score
5.2
Anaconda Business customer service is well-aligned with user needs, offering helpful but occasionally delayed support and strong community resources.
Sentiment score
7.1
Salesforce Einstein Analytics offers effective customer service, quick responses, knowledgeable support, though some experience slow issue resolution.
Anaconda Business customer support is very active with a quick response time.
System Engineer at a tech vendor with 10,001+ employees
Overall, support was reliable when we needed it, just not super-fast every single time.
tester at a tech vendor with 10,001+ employees
The customer support for Anaconda Business provides a better approach.
Product managaer at Zidio development
Tech support for Salesforce Einstein Analytics is generally good.
Preseales and Solution Head at a consultancy with 10,001+ employees
 

Scalability Issues

Sentiment score
7.0
Anaconda Business provides scalable solutions for diverse needs, offering smooth environment management and adaptability for growing user demands.
Sentiment score
7.5
Salesforce Einstein Analytics is scalable, easily integrates, handles diverse user bases, and offers seamless expansion, despite cost concerns.
As more environments or users get added, it still runs smoothly without major slowdowns.
tester at a tech vendor with 10,001+ employees
Anaconda Business scales very well because it is built around centralized environment and package management.
System Engineer at a tech vendor with 10,001+ employees
Anaconda does not have scalability restrictions as it depends on the type of machine running it.
VP Product at Medint
 

Stability Issues

Sentiment score
7.5
Anaconda Business is reliable for data science, with stable performance, minimal downtime, improved management, despite minor delays.
Sentiment score
7.9
Salesforce Einstein Analytics is praised for its stability and reliability, with occasional minor issues swiftly resolved.
Earlier, setting up or troubleshooting conflicts could take anywhere from thirty minutes to an hour, but now most setups just work.
tester at a tech vendor with 10,001+ employees
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.
Solution Architect and Senior Consultant at Keysight Technologies
 

Room For Improvement

Anaconda Business needs better OS support, intuitive interface, documentation, language options, cloud integration, security, and stability improvements.
Salesforce Einstein Analytics needs improvements in support, data handling, user-friendliness, flexibility, and cost to boost adoption.
It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much.
tester at a tech vendor with 10,001+ employees
They should enhance the security point of view; it's good, but it needs some more advanced features.
Product managaer at Zidio development
The pricing should be a little lower for a single person to use, as it might be affordable for an organization, but for my single use, it is difficult.
Product Engineer at a tech vendor with 10,001+ employees
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.
Solution Architect and Senior Consultant at Keysight Technologies
There is a learning curve associated with Salesforce Einstein Analytics, particularly since users need to learn a new language.
Preseales and Solution Head at a consultancy with 10,001+ employees
 

Setup Cost

Enterprise users are satisfied with Anaconda Business's value, despite some finding the paid version slightly costly for high-demand tasks.
Salesforce Einstein Analytics is costly yet valued for features, with negotiating licenses helping reduce expenses in enterprise environments.
Anaconda is an open-source tool, so I do not pay anything for it.
VP Product at Medint
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
Automation Test Engineer at Tata Consultancy services Limited
My experience with pricing, setup cost, and licensing indicates that it is a bit costly, but it is useful.
Analyst at Tata consultancy services
A benefit is that the pricing is available online, ensuring there are no hidden costs.
Preseales and Solution Head at a consultancy with 10,001+ employees
In general, I would rate it as a little bit on the expensive side compared to other available options.
Solution Architect and Senior Consultant at Keysight Technologies
 

Valuable Features

Anaconda Business excels in library support, package management, and security, making it ideal for scalable, efficient data science.
Salesforce Einstein Analytics offers user-friendly, scalable analytics with predictive insights and seamless CRM integration for enhanced decision-making and productivity.
Anaconda Business has positively impacted my organization because, when discussing the security point of view, it's exceptional; when comparing it to other solutions, Anaconda Business is superior.
Product managaer at Zidio development
We find the advanced security, governance, and collaborative features for organizations using Python and R particularly useful.
Product Engineer at a tech vendor with 10,001+ employees
Anaconda Business positively impacts our organization by protecting us from compliance and security risks while keeping the environment consistent, allowing our team to focus on insight and innovation instead of worrying about setups, security, and software issues.
Analyst at Tata consultancy services
It allows for a personalized customer experience by providing insights.
Preseales and Solution Head at a consultancy with 10,001+ employees
Their machine learning model, which they have integrated, provides us with accurate data and creates projection maps.
Solution Architect and Senior Consultant at Keysight Technologies
 

Categories and Ranking

Anaconda Business
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
28
Ranking in other categories
Data Science Platforms (7th)
Salesforce Einstein Analytics
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
21
Ranking in other categories
BI (Business Intelligence) Tools (18th)
 

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 2.5%, 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 1.3% since last year.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Anaconda Business2.5%
Databricks10.7%
KNIME Business Hub10.1%
Other76.7%
Data Science Platforms
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Salesforce Einstein Analytics1.0%
Microsoft Power BI10.8%
Tableau Enterprise7.6%
Other80.6%
BI (Business Intelligence) Tools
 

Featured Reviews

reviewer2775498 - PeerSpot reviewer
tester at a tech vendor with 10,001+ employees
Isolate environments and switch package versions efficiently for smoother testing workflows
Overall, it works well, but there are a few things that could be better. Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries. Another thing I would appreciate is a cleaner, more intuitive interface for managing environments. It works, but a smoother UI could make the workflow faster. It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much. The documentation could be a bit clearer, especially for troubleshooting specific errors or setup issues. Sometimes I need to search extensively to find the exact steps. Also, having quicker or more detailed support responses would help when something unexpected comes up. These are not major problems, but improving them would definitely make the overall experience smoother. One small improvement I would add is smoother integration with IDEs. It works fine right now, but having even tighter or more automated syncing with tools such as VS Code or PyCharm would make the workflow faster. Perhaps also a few more built-in examples or quick-start guides for common setups would be helpful. Nothing major, just things that would make the experience even more user-friendly.
Sunny Nair - PeerSpot reviewer
Solution Architect and Senior Consultant at Keysight Technologies
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.
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
879,259 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
10%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
12%
Computer Software Company
12%
Manufacturing Company
11%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise2
Large Enterprise19
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?
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
What needs improvement with Anaconda?
I am still becoming familiar with Anaconda Business tools after using them for only two years, so I am not utilizing Anaconda Business extensively in data analysis and data science projects yet. I ...
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: November 2025.
879,259 professionals have used our research since 2012.