Azure Data Factory vs SAP Analytics Hub comparison

Microsoft and SAP are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while SAP is ranked #51 with an average rating of 6.0. Microsoft holds a 5.2% mindshare in DI, compared to SAP’s 0.3% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 71% of SAP users who would recommend it.

Azure Data Factory

Read 92 Azure Data Factory reviews

13,131 Views
9,192 Comparison Views

92% willing to recommend

SAP Analytics Hub

Read 8 SAP Analytics Hub reviews

785 Views
212 Comparison Views

71% willing to recommend

Azure Data Factory

SAP Analytics Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAP Analytics Hub and Azure Data Factory compete in the data integration and analytics space. Azure Data Factory appears to have the upper hand due to its extensive integration capabilities and robust features.

Features: SAP Analytics Hub offers centralized analytics access, seamless integration with SAP solutions, and a user-friendly interface. Azure Data Factory provides wide-ranging data integration capabilities, pre-built connectors for various data sources, and a flexible ETL pipeline management system.

Room for Improvement: SAP Analytics Hub could benefit from expanding its non-SAP integration options, improving data transformation tools, and enhancing real-time analytics features. Azure Data Factory might improve by simplifying its complex initial setup, expanding its documentation for new users, and offering more competitive pricing tiers for smaller businesses.

Ease of Deployment and Customer Service: SAP Analytics Hub is known for its straightforward deployment within SAP environments and highly regarded customer service. Azure Data Factory offers a scalable cloud-based deployment model, requiring more expertise but providing greater flexibility, supported by Microsoft's solid infrastructure.

Pricing and ROI: SAP Analytics Hub is attractive due to lower setup costs and good ROI within SAP ecosystems. Azure Data Factory may have higher initial costs but offers a high return on investment through its scalability and extensive capabilities, often delivering better long-term value.

To learn more, read our detailed Azure Data Factory vs. SAP Analytics Hub Report (Updated: September 2025).

Buyer's Guide

Azure Data Factory vs. SAP Analytics Hub

September 2025

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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

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

SAP Analytics Hub

Ranking in Data Integration

51st

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (30th)

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of SAP Analytics Hub is 0.3%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	5.2%
SAP Analytics Hub	0.3%
Other	94.5%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

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Nitesh Agrawal

Director & Co-Owner at InfraBeat Technologies Pvt. Ltd.

Integration and security have improved, but search functionality and clarity of future direction need enhancement

The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that.

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Quotes from Members

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

Pros

"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."

"The most valuable feature is the ease in which you can create an ETL pipeline."

"The data copy template is a valuable feature."

"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."

"I like that it's a monolithic data platform. This is why we propose these solutions."

"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."

"Allows more data between on-premises and cloud solutions"

"The most valuable aspect is the copy capability."

More Azure Data Factory pros

"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."

"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."

"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."

"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."

"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."

"As a partner, I can mention something positive about SAP Analytics Hub: its products are tightly integrated, so the business context of data is retained in the analytics solution, and that's the main advantage."

Cons

"When the record fails, it's tough to identify and log."

"If the user interface was more user friendly and there was better error feedback, it would be helpful."

"There's space for improvement in the development process of the data pipelines."

"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."

"Lacks a decent UI that would give us a view of the kinds of requests that come in."

"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."

"Lacks in-built streaming data processing."

"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."

More Azure Data Factory cons

"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."

"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."

"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."

"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."

"The technical support for Analytics Hub is limited and could be improved."

"The interface can be simplified because it is not a user-friendly experience."

"The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that."

Pricing and Cost Advice

"Pricing appears to be reasonable in my opinion."

"The solution is cheap."

"The solution's pricing is competitive."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

"This is a cost-effective solution."

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

More Azure Data Factory pricing and cost advice

"It is an expensive solution."

"The product is expensive."

"The pricing is reasonable."

"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Government

Energy/Utilities Company

10%

Manufacturing Company

10%

Healthcare Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	3

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

See all answers

How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

See all answers

What is your experience regarding pricing and costs for SAP Analytics Hub?

The product is expensive. The cost starts from $1,000,000 per year. Moreover, there are additional costs involved for customization.

See all answers

What needs improvement with SAP Analytics Hub?

See all answers

What advice do you have for others considering SAP Analytics Hub?

When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics ...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 6% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 6% of the time

FME vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

SAP Analytics Cloud vs SAP Analytics Hub

Compared 33% of the time

Informatica PowerCenter vs SAP Analytics Hub

Compared 24% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 22% of the time

SAS Access vs SAP Analytics Hub

Compared 20% of the time

More SAP Analytics Hub Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2025

Download Azure Data Factory product report

Buyer's Guide

SAP Analytics Hub

September 2025

Download SAP Analytics Hub product report

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

SAP Analytics Hub simplifies access to analytics scattered across multiple heterogeneous environments. The solution recommends the best analytics to fit personalized needs and grants users with actionable insights without compromising agility.

SAP

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa

STIB-MIVB

Buyer's Guide

Azure Data Factory vs. SAP Analytics Hub

September 2025

Free Report: Azure Data Factory vs. SAP Analytics Hub

Find out what your peers are saying about Azure Data Factory vs. SAP Analytics Hub and other solutions. Updated: September 2025.

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