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 8.2, while TIBCO is ranked #48 with an average rating of 6.0. Microsoft holds a 7.9% 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 91 Azure Data Factory reviews

12,153 Views
7,888 Comparison Views

92% willing to recommend

TIBCO Scribe

Read 1 TIBCO Scribe review

378 Views
230 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: June 2025).

Buyer's Guide

Data Integration

June 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

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

TIBCO Scribe

Ranking in Data Integration

48th

Average Rating

6.0

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Azure Data Factory is 7.9%, down from 12.2% 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

"The function of the solution is great."

"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."

"I find that the solution integrates well with cloud technologies, which we are using for different clouds like Snowflake and AWS"

"The data is more scalable."

"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."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

"The security of the agent that is installed on-premises is very good."

"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

More Azure Data Factory pros

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

Cons

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

"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

"The speed and performance need to be improved."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

"My only problem is the seamless connectivity with various other databases, for example, SAP."

"Lacks in-built streaming data processing."

More Azure Data Factory cons

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

Pricing and Cost Advice

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

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

"Pricing appears to be reasonable in my opinion."

"The pricing model is based on usage and is not cheap."

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

"Product is priced at the market standard."

"Data Factory is expensive."

"ADF is cheaper compared to AWS."

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

Government

Computer Software Company

22%

Financial Services Firm

15%

Manufacturing Company

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

Snowflake vs Azure Data Factory

Compared 9% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) 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

SSIS vs TIBCO Scribe

Compared 20% of the time

More TIBCO Scribe Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2025

Download Azure Data Factory product report

Buyer's Guide

Data Integration

June 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: June 2025.

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