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Python Connectors vs SAP Business Data Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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

Python Connectors
Ranking in Data Integration
38th
Average Rating
10.0
Reviews Sentiment
8.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
SAP Business Data Cloud
Ranking in Data Integration
11th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
120
Ranking in other categories
BI (Business Intelligence) Tools (3rd), Business Performance Management (4th), Cloud Analytics (2nd), Predictive Analytics (2nd), Data Governance (10th), Cloud Data Warehouse (9th)
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Python Connectors is 0.5%, up from 0.5% compared to the previous year. The mindshare of SAP Business Data Cloud is 1.2%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SAP Business Data Cloud1.2%
Python Connectors0.5%
Other98.3%
Data Integration
 

Featured Reviews

reviewer2761659 - PeerSpot reviewer
Product Engineer at a tech vendor with 10,001+ employees
Has improved data integration speeds and strengthened security through secure authentication
In my experience, the best features Python Connectors offers are easy database connectivity, support for secure authentication, and encryption options. We have used encrypted connections and secure authentication methods, so no plain text credentials have helped us, and we found it effective. We found that Python Connectors is compliance-friendly, very secure, and has no plain text passwords or anything.
Pavlina Pankova - PeerSpot reviewer
Competence Leader - BI at Sabris CZ s.r.o.
Brings reporting, planning, and prediction together in one seamless workflow
I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.

Quotes from Members

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

Pros

"Since we started to use Python Connectors, we found it very reliable, and there are many measurable benefits of this."
"Easy to use."
"We use it for all our reporting right now, everything is happening in SAP, and all dashboards are there, and all data comes through in real-time."
"This is a robust solution and I like that it's oriented to develop what we need in our ERP."
"This product provides good reports using a single pane of glass."
"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."
"SAP Business Data Cloud provides a very seamless experience because within one package we gain AI-infused capabilities, analytical features, and planning tools that enable deeper insights and more informed business decisions based on comprehensive data analysis."
"What my customers like best about SAP Analytics Cloud is the dashboard because it's pretty good."
"Seamless planning is equal to live data, and when using live data it is very helpful because I get the data up to date, I do not have to manually refresh it, I can perform all sorts of calculations on my presentation or calculation layer, and present it to the client with live data being fetched into the system, which helped greatly for BI capabilities and allowed me to create multiple reports and dashboards to understand the sales-related dynamics of the current business in real time."
 

Cons

"Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool."
"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."
"Real-time reporting is one area that needs improvement for the product."
"Regarding pricing, SAP has adopted a pay-as-you-go service model, which is good, but pricing is high."
"The price, integration, and modeling capabilities could be better."
"The technical support for Analytics Hub is limited and could be improved."
"Technical support could be more helpful and responsive."
"I would also like to have more advanced features for predictive analytics."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
 

Pricing and Cost Advice

Information not available
"SAP Analytics Cloud can be quite expensive."
"It is an expensive solution."
"The price is competitive. There is a power user license and normal user license, but the normal user license is reasonable."
"It's quite expensive and costs a lot to maintain, especially with licensing."
"Its pricing is okay as compared to its competitors."
"The tool's pricing is medium, and licensing costs are yearly."
"SAP Analytics can be very costly to license, which can make it difficult for organizations to implement."
"SAP Analytics Cloud is expensive. The price is a big issue if you compare it with other solutions from different vendors."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
12%
Comms Service Provider
11%
Construction Company
8%
Media Company
13%
Outsourcing Company
13%
Manufacturing Company
12%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business47
Midsize Enterprise22
Large Enterprise79
 

Questions from the Community

What needs improvement with Python Connectors?
Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool. It is much costlier than other products, but considering Python language bein...
What is your primary use case for Python Connectors?
Python Connectors are mainly used to connect between the front-end and back-end of a project. It may seem like an API or a framework. We have used Python Connectors to create an employee dashboard....
What advice do you have for others considering Python Connectors?
Python Connectors is actually very easy and user-friendly and accessible, and the most reliable feature is that it is user-friendly. The person who knows Python from top to end feels a master in it...
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 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.
What needs improvement with SAP Analytics Cloud?
I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a c...
 

Also Known As

No data available
SAP Analytics Cloud, SAP Digital Boardroom, SAP Analytics Hub
 

Overview

 

Sample Customers

Information Not Available
Ericsson, Vodafone, Google, Team Liquid, Ryder Cup, Accenture
Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: October 2026.
920,769 professionals have used our research since 2012.