Azure Data Factory vs TIBCO Cloud Integration comparison

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26,170 views|20,469 comparisons
91% willing to recommend
TIBCO Logo
194 views|167 comparisons
80% willing to recommend
Comparison Buyer's Guide
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, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Azure Data Factory became more user-friendly when data-flows were introduced.""It is easy to integrate.""It is a complete ETL Solution.""The most valuable feature of this solution would be ease of use.""I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code.""The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability.""From what we have seen so far, the solution seems very stable.""This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

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"I like that it is a very good integration tool with many other things. TIBCO is very good for cloud integration""I am really impressed by TIBCO's integration of any level of complexity.""The product's initial setup phase was easy."

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Cons
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory.""Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters.""The deployment should be easier.""Some of the optimization techniques are not scalable.""Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue.""Data Factory's monitorability could be better.""Azure Data Factory uses many resources and has issues with parallel workflows.""DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

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

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Pricing and Cost Advice
  • "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."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer: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 and… more »
    Top Answer: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… more »
    Top Answer:The product's initial setup phase was easy.
    Top Answer: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… more »
    Top Answer: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 for… more »
    Ranking
    1st
    out of 100 in Data Integration
    Views
    26,170
    Comparisons
    20,469
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    Views
    194
    Comparisons
    167
    Reviews
    2
    Average Words per Review
    464
    Rating
    8.0
    Comparisons
    Learn More
    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.

    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.

    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
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company16%
    Manufacturing Company8%
    Retailer7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise10%
    Large Enterprise77%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while TIBCO Cloud Integration is ranked 17th in Integration Platform as a Service (iPaaS) with 3 reviews. Azure Data Factory is rated 8.0, while TIBCO Cloud Integration is rated 8.4. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of TIBCO Cloud Integration writes "A product that is easy to install and offers good stability to users". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas TIBCO Cloud Integration is most compared with Microsoft Azure Logic Apps, SAP Process Orchestration and Oracle Integration Cloud Service.

    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.