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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
36th
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
7th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
120
Ranking in other categories
BI (Business Intelligence) Tools (3rd), Business Performance Management (2nd), Cloud Analytics (2nd), Predictive Analytics (1st), Data Governance (4th), Cloud Data Warehouse (4th)
 

Mindshare comparison

As of October 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."
"SAP is very scalable."
"The most valuable feature of the tool is machine learning."
"What I appreciate about SAP Analytics Cloud is the AI features, which include interactive dashboards, drill-down capabilities, linked dimensions, and the ability to integrate more than one model in the same story."
"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."
"I have found that the feature to drag and drop widgets based on the data source, and import them into stories to be valuable. This way it helps the end user to create stories themselves."
"A point of differentiation in the market for Analytics Cloud compared to other analytics products, is it offers not only business intelligence within the application, but also it has inbuilt AI and machine learning capabilities that can be used not only by data scientist types in the organization, but for general users who can get the benefit of inbuilt predictive features in the tool."
"One feature I've found most valuable is Discovery, a logistics tool that will place the dashboard for you on the fly and, for example, if you select a country, it will give the entire picture of where a product is high and where it is low."
"The SKU, the story build all are user- friendly. For the story build one just has to drag and drop it. And for the table, you just need some sort of selections and everything there."
 

Cons

"Python Connectors might get a little less costly, making it a common tool rather than being an expensive or fancy tool."
"From a learning perspective, there needs to be better support from SAP. The learning documentation and software are not as robust as I would hope from SAP's side."
"The solution should include other scripting languages as well, such as Python."
"Although it might be too early to assess fully, I have seen some return on investment so far."
"There is no direct connector from SAP to Redshift, so we are required to use a third-party product that was recommended by SAP."
"There is not an easy way to migrate from our current BW reporting to SAP Business Data Cloud solution, so maintaining both solutions in parallel is necessary."
"If the application has many pages or a page with more charts, it tends to load slowly."
"All the features are there, maybe except for the one-gauge visualization."
"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."
 

Pricing and Cost Advice

Information not available
"This solution offers value for money and you get what you pay for."
"SAP Analytics Cloud is a bit higher [in price]. Because, if Microsoft can afford a better product and lower cost, SAP can afford at least the same, or even lower."
"SAP Analytics Cloud is expensive. The price is a big issue if you compare it with other solutions from different vendors."
"The platform is about 50% more expensive than Power BI."
"It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."
"I don't have the exact price for SAP Analytics Cloud, but it could be improved and made cheaper, especially when compared to Power BI."
"This solution is pricey."
"SAP Analytics Cloud can be quite expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
12%
Construction Company
9%
Comms Service Provider
9%
Media Company
13%
Outsourcing Company
13%
Manufacturing Company
11%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business48
Midsize Enterprise21
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, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
917,403 professionals have used our research since 2012.