Azure Data Factory vs TIBCO Scribe comparison

Microsoft and TIBCO are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.1, while TIBCO is ranked #49 with an average rating of 6.0. Microsoft holds a 10.1% mindshare in DI, compared to TIBCO’s 0.2% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution.

Azure Data Factory

Read 90 Azure Data Factory reviews

19,379 Views
15,325 Comparison Views

92% willing to recommend

TIBCO Scribe

Read 1 TIBCO Scribe review

361 Views
242 Comparison Views

0% willing to recommend

Azure Data Factory

TIBCO Scribe

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and TIBCO Scribe based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: January 2025).

Buyer's Guide

Data Integration

January 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 (3rd)

TIBCO Scribe

Ranking in Data Integration

49th

Average Rating

6.0

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.1%, down from 12.9% compared to the previous year. The mindshare of TIBCO Scribe is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

Facilitates seamless data pipeline creation with good analytics and and thorough monitoring

Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.

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GouravSuri

Software Engineer (L4) at Uber

A cloud solution that has a lot of connectors, but it should provide better documentation and scenario-based samples

Smaller customers who want to integrate with other systems don't need too much in-house expertise in terms of technology. They can hire consultants who can implement this solution for them, and they don't have to maintain any infrastructure. For a smaller setup, it is a go-to integration system wherein they don't need a lot of expertise or infrastructure. The solution's UI is pretty intuitive and easy. It is good for smaller integration use cases. I think it would be a problem for bigger use cases. Overall, I rate TIBCO Scribe a six out of ten.

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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

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

"The most valuable feature of this solution would be ease of use."

"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"The most valuable feature is the copy activity."

"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."

More Azure Data Factory pros

"The most valuable feature of TIBCO Scribe is the connectors available to various products."

Cons

"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."

"Azure Data Factory uses many resources and has issues with parallel workflows."

"I have not found any real shortcomings within the product."

"The deployment should be easier."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."

More Azure Data Factory cons

"The solution should provide better documentation and scenario-based samples."

Pricing and Cost Advice

"I would not say that this product is overly expensive."

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

"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."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"ADF is cheaper compared to AWS."

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

"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."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Computer Software Company

19%

Financial Services Firm

18%

Government

10%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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...

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What do you like most about TIBCO Scribe?

The most valuable feature of TIBCO Scribe is the connectors available to various products.

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What needs improvement with TIBCO Scribe?

The solution should provide better documentation and scenario-based samples.

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What is your primary use case for TIBCO Scribe?

TIBCO Scribe is used to do some out-of-the-box integration with some packaged products. TIBCO Scribe is a cloud solution that has a lot of connectors, like REST connectors and database connectors t...

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Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 13% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

No data available

Product Reports

Buyer's Guide

Azure Data Factory

February 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

January 2025

Download TIBCO Scribe product report

Also Known As

No data available

Scribe

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

Sophisticated website content management system (CMS) designed to address the day-to-day needs of organizations. Scribe allows Publishers to run every aspect of their business on one single system.

TIBCO

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

Armanino, Oklahoma City Thunder, Texas Rangers, Tata Technologies, BenefAction, Indianapolis Motor Speedway, Atdec, Dynasplint Systems

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: January 2025.

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