Azure Data Factory vs TIBCO Cloud Integration comparison

The compared Microsoft and TIBCO solutions aren't in the same category. Microsoft is ranked #3 in DI , with an average rating of 8.2, and holds a 2.8% mindshare in the category. TIBCO is ranked #20 in PaaS , and holds a 2.1% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 80% of TIBCO users who would recommend it.

Azure Data Factory

Read 94 Azure Data Factory reviews

10,752 Views
7,526 Comparison Views

92% willing to recommend

TIBCO Cloud Integration

Read 3 TIBCO Cloud Integration reviews

926 Views
528 Comparison Views

80% willing to recommend

Azure Data Factory

TIBCO Cloud Integration

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Executive Summary

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

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

To learn more, read our detailed Data Integration Report (Updated: March 2026).

Buyer's Guide

Data Integration

March 2026

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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

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (3rd), Cloud Data Warehouse (2nd)

TIBCO Cloud Integration

Average Rating

8.4

Reviews Sentiment

8.5

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (20th)

Mindshare comparison

Azure Data Factory and TIBCO Cloud Integration aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 2.8%, down 9.7% compared to last year.
TIBCO Cloud Integration, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 2.1% mindshare, up 0.7% since last year.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.8%
SSIS	3.6%
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
Other	90.0%

Data Integration

Integration Platform as a Service (iPaaS) Mindshare Distribution
Product	Mindshare (%)
TIBCO Cloud Integration	2.1%
Boomi iPaaS	8.0%
MuleSoft Anypoint Platform	6.7%
Other	83.2%

Integration Platform as a Service (iPaaS)

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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NarendraThota

Vice President of Technology Services at a computer software company with 501-1,000 employees

A product that is easy to install and offers good stability to users

The API part of the solution is an area in the solution where improvements are made since I see that TIBCO is currently trying to revamp its tool by focusing more on redesigning it. There was a tool called Mashery, which is an API management tool that was acquired by TIBCO. TIBCO Cloud Integration is not a user-friendly tool when it comes to the installation phase or for maintaining the systems since its architecture is really complex. I think in the UK, one of the major telecom providers for whom I had done the infrastructure setup uses TIBCO Cloud Integration. Basically, TIBCO Cloud Integration is a bit difficult to install and manage the platform, but I feel there are improvements in the tool's latest version, especially on the API management side. Instead of moving to the higher version and converting the older version of TIBCO Cloud Integration or the legacy platform covered under TIBCO, they still use it because the architecture is completely different, and the components that the product has are completely different from what the new version of the product offers, making it one of the major reasons why TIBCO is coming up with a new version of the product that will be released in the upcoming year. The legacy platform of TIBCO will run on the cloud directly. TIBCO plans to develop a unified tool that is supported on the cloud and in an on-premises environment.

Read full review

Quotes from Members

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

Pros

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

"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 feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

"Azure Data Factory is an integration tool, an orchestration service tool; it is for data integration for the cloud."

"I am one hundred percent happy with the stability."

"The reason that we implemented this product is for the full integration with the whole Azure environment."

"The data flows were beneficial, allowing us to perform multiple transformations."

"It is a complete ETL Solution."

More Azure Data Factory pros

"I like that it is a very good integration tool with many other things; TIBCO is very good for cloud integration."

"The product's initial setup phase was easy."

"I like that it is a very good integration tool with many other things. TIBCO is very good for cloud integration"

"The initial setup was straightforward and because we often work with one of the most interesting companies in integration in Italy, what the program offers is absolutely outstanding."

"I am really impressed by TIBCO's integration of any level of complexity."

Cons

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."

"The number of standard adaptors could be extended further."

"I would like to be informed about the changes ahead of time, so we are aware of what's coming."

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

"The performance could be better. It would be better if Azure Data Factory could handle a higher load."

"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"Azure Data Factory is a bit complicated compared to Informatica. There are a lot of connectors that are missing and there are a lot of instances where I need to create a server and install Integration Runtime."

More Azure Data Factory cons

"Integrations could be better. Although integration is good, we have faced some block issues."

"It is an extremely powerful solution, but it is very expensive, even though it only offers adequate functionality."

"The deployment was rather complicated."

"Integrations could be better. Although integration is good, we have faced some block issues."

"TIBCO Cloud Integration is not a user-friendly tool when it comes to the installation phase or for maintaining the systems since its architecture is really complex."

Pricing and Cost Advice

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

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"The solution's pricing is competitive."

"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."

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

"Data Factory is affordable."

"Understanding the pricing model for Data Factory is quite complex."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

More Azure Data Factory pricing and cost advice

"We don't pay for a license."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

10%

Manufacturing Company

Government

Construction Company

24%

Comms Service Provider

Outsourcing Company

Consumer Goods Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	20
Large Enterprise	57

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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Comparisons

Snowflake vs Azure Data Factory

Compared 5% of the time

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

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Boomi iPaaS vs TIBCO Cloud Integration

Compared 13% of the time

Informatica PowerCenter vs TIBCO Cloud Integration

Compared 9% of the time

Oracle Integration Cloud Service vs TIBCO Cloud Integration

Compared 7% of the time

IBM App Connect vs TIBCO Cloud Integration

Compared 6% of the time

webMethods.io vs TIBCO Cloud Integration

Compared 4% of the time

More TIBCO Cloud Integration Competitors

Product Reports

Buyer's Guide

Azure Data Factory

March 2026

Download Azure Data Factory product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

March 2026

Download TIBCO Cloud Integration 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

TIBCO Cloud Integration, built on open-source technologies, can connect cloud, on-premises, and IoT edge applications. It has a drag-and-drop and API-led design approach and a deploy-anywhere model.

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

NASA, T-Mobile, EagleView, Air France KLM, Caesars Entertainment

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