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 8.0, while TIBCO is ranked #50 with an average rating of 6.0. Microsoft holds a 9.5% mindshare in DI, compared to TIBCO’s 0.3% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution.

Azure Data Factory

Read 90 Azure Data Factory reviews

16,157 Views
12,990 Comparison Views

92% willing to recommend

TIBCO Scribe

Read 1 TIBCO Scribe review

381 Views
241 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: March 2025).

Buyer's Guide

Data Integration

March 2025

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Helped 847,862 peers since 2012

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

50th

Average Rating

6.0

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Azure Data Factory is 9.5%, down from 12.7% compared to the previous year. The mindshare of TIBCO Scribe is 0.3%, 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

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

"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."

"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."

"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."

"We have been using drivers to connect to various data sets and consume data."

"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."

"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."

More Azure Data Factory pros

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

Cons

"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."

"I do not have any notes for improvement."

"There are performance issues, particularly with the underlying compute, which should be configurable."

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."

"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."

More Azure Data Factory cons

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

Pricing and Cost Advice

"Data Factory is affordable."

"Pricing is comparable, it's somewhere in the middle."

"The licensing cost is included in the Synapse."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

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

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

"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."

"Data Factory is expensive."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Computer Software Company

23%

Financial Services Firm

17%

Government

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.

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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 11% of the time

Snowflake vs Azure Data Factory

Compared 9% of the time

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

Compared 7% of the time

Alteryx Designer vs Azure Data Factory

Compared 6% 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

April 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

March 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: March 2025.

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