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 3.2% mindshare in the category. TIBCO is ranked #19 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 93 Azure Data Factory reviews

11,197 Views
7,838 Comparison Views

92% willing to recommend

TIBCO Cloud Integration

Read 3 TIBCO Cloud Integration reviews

769 Views
400 Comparison Views

80% willing to recommend

Azure Data Factory

TIBCO Cloud Integration

Comparison Buyer's Guide

Download the report

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, IBM and others in Data Integration.

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

Buyer's Guide

Data Integration

January 2026

Download the complete report

Helped 881,114 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

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) (19th)

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 3.2%, down 10.0% compared to last year.
TIBCO Cloud Integration, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 2.1% mindshare, up 0.6% since last year.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	3.2%
SSIS	4.0%
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
Other	89.1%

Data Integration

Integration Platform as a Service (iPaaS) Market Share Distribution
Product	Market Share (%)
TIBCO Cloud Integration	2.1%
Boomi iPaaS	8.6%
Microsoft Azure Logic Apps	7.2%
Other	82.1%

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.

Read full review

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 I have found at Azure Data Factory is the data flow function."

"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."

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

"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."

"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."

"The most important feature is that it can help you do the multi-threading concepts."

"The solution is okay."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

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 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."

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

"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."

"Data Factory's performance during heavy data processing isn't great."

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

"The setup and configuration process could be simplified."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

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

More Azure Data Factory cons

"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."

"The deployment was rather complicated."

Pricing and Cost Advice

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

"The solution is cheap."

"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."

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"The licensing cost is included in the Synapse."

"Product is priced at the market standard."

"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."

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

More Azure Data Factory pricing and cost advice

"We don't pay for a license."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

Government

Outsourcing Company

Consumer Goods Company

Comms Service Provider

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
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...

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

Ask a question

Earn 20 points

Comparisons

Snowflake vs Azure Data Factory

Compared 7% of the time

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

Compared 6% of the time

Palantir Foundry vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 4% of the time

FME vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Boomi iPaaS vs TIBCO Cloud Integration

Compared 19% of the time

Informatica PowerCenter vs TIBCO Cloud Integration

Compared 14% of the time

Microsoft Azure Logic Apps vs TIBCO Cloud Integration

Compared 11% of the time

TIBCO BusinessWorks vs TIBCO Cloud Integration

Compared 9% of the time

Precisely Optimize IMS vs TIBCO Cloud Integration

Compared 5% of the time

More TIBCO Cloud Integration Competitors

Product Reports

Buyer's Guide

Azure Data Factory

January 2026

Download Azure Data Factory product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

January 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

Find out what your peers are saying about Microsoft, Informatica, IBM and others in Data Integration. Updated: January 2026.

DOWNLOAD NOW

881,114 professionals have used our research since 2012.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.