Azure Data Factory vs TIBCO Cloud Integration comparison

The compared Microsoft and TIBCO solutions aren't in the same category. Microsoft is ranked #1 in DI , with an average rating of 8.0, and holds a 11.1% mindshare in the category. TIBCO is ranked #17 in PaaS , with an average rating of 8.0, and holds a 0.7% mindshare. Additionally, 91% of Microsoft users are willing to recommend the solution, compared to 80% of TIBCO users who would recommend it.

Azure Data Factory

Read 85 Azure Data Factory reviews

23,087 Views
18,331 Comparison Views

91% willing to recommend

TIBCO Cloud Integration

Read 3 TIBCO Cloud Integration reviews

150 Views
126 Comparison Views

80% willing to recommend

Azure Data Factory

TIBCO Cloud Integration

Comparison Buyer's Guide

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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, Talend and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: October 2024).

Buyer's Guide

Data Integration

October 2024

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Categories and Ranking

Azure Data Factory

Average Rating

8.0

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

TIBCO Cloud Integration

Average Rating

8.4

Number of Reviews

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 11.1%, down 13.3% compared to last year.
TIBCO Cloud Integration, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 0.7% mindshare, down 0.7% since last year.

Data Integration

Integration Platform as a Service (iPaaS)

Featured Reviews

Camilo Velasco

CTO at Sosty

Oct 27, 2022

No deployment cost, quick implementation, pay only for the processing time and data

The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…

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NarendraThota

Vice President of Technology Services at SAge IT inc

Nov 27, 2023

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

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

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

"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."

"I can do everything I want with SSIS and Azure Data Factory."

"I like that it's a monolithic data platform. This is why we propose these solutions."

"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."

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."

More Azure Data Factory pros

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

"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

"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 uses many resources and has issues with parallel workflows."

"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."

"It can improve from the perspective of active logging. It can provide active logging information."

"The setup and configuration process could be simplified."

"Data Factory's cost is too high."

"Data Factory's monitorability could be better."

"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

"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."

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

Pricing and Cost Advice

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

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"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."

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

"ADF is cheaper compared to AWS."

"It's not particularly expensive."

"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."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

More Azure Data Factory pricing and cost advice

"We don't pay for a license."

See which vendors are best for you

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Financial Services Firm

22%

Computer Software Company

18%

Government

Manufacturing Company

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.

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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What do you like most about TIBCO Cloud Integration?

The product's initial setup phase was easy.

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What needs improvement with TIBCO Cloud Integration?

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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 ...

See all answers

Comparisons

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Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 11% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Microsoft Azure Logic Apps vs TIBCO Cloud Integration

Compared 100% of the time

More TIBCO Cloud Integration Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2024

Download Azure Data Factory product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

October 2024

Download TIBCO Cloud Integration product report

Learn More

Microsoft

TIBCO

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

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: October 2024.

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