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Anaconda Business vs SAP Analytics Cloud 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)
SAP Analytics Cloud
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
71
Ranking in other categories
BI (Business Intelligence) Tools (3rd), Predictive Analytics (3rd)
 

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.
SAP Analytics Cloud, on the other hand, focuses on BI (Business Intelligence) Tools, holds 3.1% mindshare, down 5.4% 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 (%)
SAP Analytics Cloud3.1%
Microsoft Power BI14.5%
Tableau Enterprise11.0%
Other71.4%
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.
RamasamyTelungupalayam - PeerSpot reviewer
Seamless integration, collaborative features, and enhances data exploration
There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.

Quotes from Members

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

Pros

"I can use Anaconda for non-heavy tasks."
"The virtual environment is very good."
"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 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."
"The most advantageous feature is the logic building."
"It helped us find find the optimal area for where our warehouse should be located."
"The notebook feature is an improvement over RStudio."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"Easy to use."
"What my customers like best about SAP Analytics Cloud is the dashboard because it's pretty good."
"The product's native integration with SAP ERP systems is particularly valuable."
"SAP Analytics Cloud is a very good tool. The feature that's most useful for me is the reporting as it can be done via Google Chrome. The solution is also very nice, user-friendly, and easy to build. It's very easy to use the features of SAP Analytics Cloud."
"If 85-90% of your data comes from SAP, then it's the best solution."
"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."
"Planning is the most valuable feature of the product because it's integrated and that means we don't need to rely on an independent planning environment."
"I like the predictive features of SAP. It's easy to use tools for an end-user."
 

Cons

"Anaconda can't handle heavy workloads."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"The solution would benefit from offering more automation."
"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."
"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."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"It should have the flexibility for scoping the story and models. When you use it in a three-layer architecture, you struggle with the fact that you usually have just one SAP Analytics Cloud tenant, and you have to switch the connections, which might be an issue for bigger developments. For the development role, there should be an option to switch between development and production scenarios."
"I would like to see improved support for third-party systems, lower cost of acquisition, and better graphics and interface design."
"I would also like to have more advanced features for predictive analytics."
"SAP Analytics Cloud requires a lot of coding and I would like the coding to be somewhat minimal."
"SAP could add more templates to the platform."
"Sometimes we have difficulty connecting to a SharePoint list."
"The customizations need to be better."
"Improvements are coming quarterly whereas previously it was on a monthly basis."
 

Pricing and Cost Advice

"The tool is open-source."
"The product is open-source and free to use."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"The licensing costs for Anaconda are reasonable."
"My company uses the free version of the tool. There is also a paid version of the tool available."
"The premium option is very expensive at five thousand dollars. I use the nine hundred and ninety-nine dollar option."
"The tool's pricing is medium, and licensing costs are yearly."
"It's not that costly as such for the time being."
"This solution offers value for money and you get what you pay for."
"It's quite expensive and costs a lot to maintain, especially with licensing."
"SAP Analytics can be very costly to license, which can make it difficult for organizations to implement."
"SAP pricing tends to be premium, so it is slightly higher."
"It is a bit expensive, but really worth it, especially if you are already using other SAP tools."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
8%
Insurance Company
7%
Manufacturing Company
18%
Computer Software Company
9%
Financial Services Firm
8%
Retailer
7%
 

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 Business23
Midsize Enterprise13
Large Enterprise39
 

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.
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
What do you like most about SAP Analytics Cloud?
In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.
What is your experience regarding pricing and costs for SAP Analytics Cloud?
I normally do not deal with the commercials, so I am not aware of the pricing part of it.
 

Also Known As

No data available
SAP BusinessObjects Cloud
 

Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
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