Azure Data Factory vs TIBCO Cloud Integration comparison

Why PeerSpot?

The compared Microsoft and TIBCO solutions aren't in the same category. Microsoft is ranked #5 in DI , with an average rating of 8.0, and holds a 2.2% mindshare in the category. TIBCO is ranked #22 in PaaS , and holds a 1.8% 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 97 Azure Data Factory reviews

14,793 Views
10,207 Comparison Views

92% willing to recommend

TIBCO Cloud Integration

Read 3 TIBCO Cloud Integration reviews

1,970 Views
1,182 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 Informatica, Palantir, Microsoft and others in Data Integration.

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

Buyer's Guide

Data Integration

September 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

6.7

Number of Reviews

Ranking in other categories

Data Integration (5th), Cloud Data Warehouse (7th)

TIBCO Cloud Integration

Average Rating

8.4

Reviews Sentiment

8.5

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (22nd)

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 2.2%, down 5.5% compared to last year.
TIBCO Cloud Integration, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 1.8% mindshare, up 1.3% since last year.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
SSIS	3.6%
Other	90.5%

Data Integration

Integration Platform as a Service (iPaaS) Mindshare Distribution
Product	Mindshare (%)
TIBCO Cloud Integration	1.8%
Boomi iPaaS	6.8%
MuleSoft Anypoint Platform	6.5%
Other	84.9%

Integration Platform as a Service (iPaaS)

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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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 part of this product is the ease of use, as it is easy to use and rather intuitive, and because it is easy to use, you can do things with it easily, making your work easier and therefore more valuable."

"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."

"Azure Data Factory is easy to use and integrates well, providing good classification to bring data from diverse parts of the data infrastructure, whether from CSV files coming from the Cisco server, MySQL, Excel machines, or local network data from remote files."

"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."

"Azure Data Factory is a good tool."

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

"It makes it easy to collect data from different sources."

"The data is more scalable."

More Azure Data Factory pros

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

"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."

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

Cons

"Technical support isn't the best, as it's a bit delayed at times. Whenever we need some urgent support, wherein we have to restart or something has stuck, it takes a bit of time."

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

"I wouldn't consider it to be stable since it fails at times."

"Real-time replication is required, and this is not a simple task."

"The only thing that we're struggling with is increasing the competency of my team, so we think that the Microsoft documentation is too complicated."

"I find that Azure Data Factory is still maturing, so there are issues."

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

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

More Azure Data Factory cons

"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."

"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."

Pricing and Cost Advice

"The solution is cheap."

"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."

"Pricing appears to be reasonable in my opinion."

"It's not particularly expensive."

"The cost is based on the amount of data sets that we are ingesting."

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

"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."

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

11%

Manufacturing Company

Computer Software Company

Construction Company

28%

Comms Service Provider

12%

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	21
Large Enterprise	64

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...

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Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

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

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

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Boomi iPaaS vs TIBCO Cloud Integration

Compared 11% of the time

Oracle Integration Cloud Service vs TIBCO Cloud Integration

Compared 8% of the time

RoboMQ vs TIBCO Cloud Integration

Compared 7% of the time

Informatica PowerCenter vs TIBCO Cloud Integration

Compared 6% of the time

More TIBCO Cloud Integration Competitors

Product Reports

Buyer's Guide

Azure Data Factory

September 2026

Download Azure Data Factory product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

September 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 is a versatile platform designed to streamline and enhance business processes by providing a comprehensive range of integration capabilities. It supports users in connecting various applications and data across on-premise and cloud environments.

TIBCO Cloud Integration is a robust integration platform that offers seamless connectivity to integrate diverse systems and applications. It allows businesses to efficiently manage and automate processes, ensuring data flows smoothly across systems. It supports a wide range of integration patterns, offers cloud-native deployment, and scales according to business needs. The platform is known for its ability to improve operational efficiency and provide a cohesive environment for disparate data sources, making complex integrations more manageable and effective.

What are the key features of TIBCO Cloud Integration?

API Management: Enables users to create, publish, and manage APIs with ease.
Pre-built Connectors: Simplifies integration by offering a broad library of connectors.
Scalability: Adapts to changing business needs ensuring optimal performance.
Cloud-native: Supports cloud deployments providing flexibility and cost efficiency.
Real-time Monitoring: Offers insights and visibility into integration flows and operations.

What benefits and ROI should users look for in reviews?

Enhanced Efficiency: Automation capabilities lead to reduced operational overhead.
Cost Savings: Reduces integration costs with its flexible pricing models and deployment options.
Increased Agility: Supports rapid development cycles improving time-to-market.
Data Consistency: Ensures data accuracy and reduces the risk of errors across systems.
Improved Scalability: Supports growth without significant infrastructure changes.

Industries like finance, healthcare, and retail use TIBCO Cloud Integration to streamline complex data processes, ensuring compliance and improving customer experience. For example, in healthcare, it integrates patient data across systems to optimize care delivery. Retail sectors utilize it for real-time inventory management and seamless supply chain operations, enhancing overall productivity.

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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