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Azure Data Factory vs TIBCO Cloud Integration comparison

 

Comparison Buyer's Guide

Executive Summary

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
6.9
Number of Reviews
90
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
TIBCO Cloud Integration
Average Rating
8.4
Reviews Sentiment
8.5
Number of Reviews
3
Ranking in other categories
Integration Platform as a Service (iPaaS) (17th)
 

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 10.0%, down 12.9% compared to last year.
TIBCO Cloud Integration, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 0.8% mindshare, up 0.7% since last year.
Data Integration
Integration Platform as a Service (iPaaS)
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
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.
NarendraThota - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"We have found the bulk load feature very valuable."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"It is a complete ETL Solution."
"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."
"Its integrability with the rest of the activities on Azure is most valuable."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"An excellent tool for pipeline orchestration."
"The most valuable feature is the copy activity."
"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 main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"There is no built-in pipeline exit activity when encountering an error."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"The Microsoft documentation is too complicated."
"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."
"The deployment was rather complicated."
 

Pricing and Cost Advice

"The solution's pricing is competitive."
"I would not say that this product is overly expensive."
"Pricing appears to be reasonable in my opinion."
"ADF is cheaper compared to AWS."
"The licensing cost is included in the Synapse."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"The pricing is a bit on the higher end."
"We don't pay for a license."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
20%
Computer Software Company
14%
Real Estate/Law Firm
8%
Government
6%
 

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.
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...
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...
What needs improvement with TIBCO Cloud Integration?
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 too...
What is your primary use case for TIBCO Cloud Integration?
I mainly use TIBCO Cloud Integration for iPaaS platforms, SaaS connectors, and SaaS connectivity that you have. The solution can be deployed on the cloud and on an on-premises model, so you can go ...
 

Overview

 

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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