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Azure Data Factory vs CentraSite 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
6.7
Number of Reviews
96
Ranking in other categories
Data Integration (5th), Cloud Data Warehouse (7th)
CentraSite
Average Rating
8.0
Reviews Sentiment
4.6
Number of Reviews
1
Ranking in other categories
SOA Governance (3rd), API Management (30th)
 

Mindshare comparison

Azure Data Factory and CentraSite aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 2.3%, down 7.6% compared to last year.
CentraSite, on the other hand, focuses on SOA Governance, holds 6.4% mindshare, down 8.0% since last year.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.3%
Informatica Intelligent Data Management Cloud (IDMC)3.7%
SSIS3.7%
Other90.3%
Data Integration
SOA Governance Mindshare Distribution
ProductMindshare (%)
CentraSite6.4%
Oracle SOA Suite20.2%
Actional10.4%
Other63.0%
SOA Governance
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
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.
IsmailEl Dahshan - PeerSpot reviewer
CEO at Exact Holding NV
Governance has streamlined service registry usage but deployment and integration still need work
I work with GraphQL, REST API, and SOAP services as well. API Connect works with GraphQL and can deploy GraphQL services. I also work with GraphQL in Software AG webMethods API Gateway. I'm working with DataPower. I have experience with IBM API Gateway, API Connect, Event Stream, and App Connect, the Cloud platform integration. I didn't involve DataPower with BPM before. I have used the webMethods API Gateway. I have used an open-source framework that is not a product for a specific vendor. I work with GraphQL in three different products: API Connect, the API Gateway of the webMethods Software AG, and the Java Spring framework. I work with CentraSite and also work with the Integration Server, webMethods Integration Server, and Universal Messaging. The governance is powerful. I can recommend CentraSite for any industry working with service registry and repositories. I would rate it eight out of ten. I have seven years of experience with IBM solutions and rate them nine or ten out of ten. I have one year of experience with webMethods and rate it eight out of ten. I have five years of experience with other solutions. The overall review rating for this product is seven.

Quotes from Members

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

Pros

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"The most valuable feature I have found at Azure Data Factory is the data flow function."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness."
"It is easy to deploy workflows and schedule jobs."
"An excellent tool for pipeline orchestration."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"The governance is powerful, and you can look up services very easily, which may reduce some development cycle time."
 

Cons

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"Azure Data Factory is a bit complicated compared to Informatica. There are a lot of connectors that are missing and there are a lot of instances where I need to create a server and install Integration Runtime."
"The Microsoft documentation is too complicated."
"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."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"Real-time replication is required, and this is not a simple task."
"The setup is mild. It's not so simple and not very difficult. You can make it happen with some configuration, but it's not easy for non-professional people."
 

Pricing and Cost Advice

"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."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"The licensing cost is included in the Synapse."
"The solution's pricing is competitive."
"ADF is cheaper compared to AWS."
"The price you pay is determined by how much you use it."
"Data Factory is expensive."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Construction Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise63
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 CentraSite?
There is a big difference in deployment modules and different deployment scenarios. It can be adapted to any environment, not only finance or government. The deployment can be made for each data ce...
What is your primary use case for CentraSite?
I implemented this hybrid integration platform for the finance sector at one of the big banks in Egypt. I used it inside the services exposed from the banking sector only, not for the asset managem...
What advice do you have for others considering CentraSite?
I work with GraphQL, REST API, and SOAP services as well. API Connect works with GraphQL and can deploy GraphQL services. I also work with GraphQL in Software AG webMethods API Gateway. I'm working...
 

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
DigitalGlobe, Georgia Technology Authority, Oriflame, Ekurhuleni Metropolitan Municipality (EMM), BRFkredit, Saudi Telecom Company, HSBC Turkey, Orange UK, Telus Health Solutions
Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: July 2026.
906,829 professionals have used our research since 2012.