No more typing reviews! Try our Samantha, our new voice AI agent.

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 7.2% compared to last year.
CentraSite, on the other hand, focuses on SOA Governance, holds 6.1% mindshare, down 8.4% since last year.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.3%
Informatica Intelligent Data Management Cloud (IDMC)3.8%
SSIS3.7%
Other90.2%
Data Integration
SOA Governance Mindshare Distribution
ProductMindshare (%)
CentraSite6.1%
Oracle SOA Suite20.0%
Actional10.5%
Other63.4%
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

"It's extremely consistent."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."
"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."
"Azure Data Factory is a very easy to use ETL tool for loading and transforming data from one location to another."
"The flexibility that Azure Data Factory offers is great."
"The most valuable feature of this solution would be ease of use."
"This is an excellent tool for pipeline orchestration; connecting the different components and activities as well as gathering data."
"The governance is powerful, and you can look up services very easily, which may reduce some development cycle time."
 

Cons

"There are limitations when processing more than one GD file."
"We have experienced some issues with the integration. This is an area that needs improvement."
"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 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."
"There is one particular problem with Azure Data Factory. When you have a parent-to-child relationship and the child has one more relationship, creating a hierarchy situation, there are issues."
"I do not have any notes for improvement."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"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

"ADF is cheaper compared to AWS."
"The licensing cost is included in the Synapse."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"This is a cost-effective solution."
"The pricing is a bit on the higher end."
"The pricing model is based on usage and is not cheap."
"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"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."
Information not available
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
908,800 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
9%
Construction Company
7%
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.
908,800 professionals have used our research since 2012.