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Azure Data Factory vs CentraSite comparison

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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
97
Ranking in other categories
Data Integration (6th), Cloud Data Warehouse (8th)
CentraSite
Average Rating
8.0
Reviews Sentiment
4.6
Number of Reviews
1
Ranking in other categories
SOA Governance (4th), API Management (31st)
 

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 2.2%, down 4.4% compared to last year.
CentraSite, on the other hand, focuses on SOA Governance, holds 6.4% mindshare, up 6.0% since last year.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.2%
SSIS4.0%
Informatica Intelligent Data Management Cloud (IDMC)3.8%
Other90.0%
Data Integration
SOA Governance Mindshare Distribution
ProductMindshare (%)
CentraSite6.4%
Oracle SOA Suite19.8%
Actional11.5%
Other62.3%
SOA Governance
 

Featured Reviews

Kunal Das - PeerSpot reviewer
Test Engineer at Happiest Minds Technologies
Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling
If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.
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 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."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The trigger scheduling options are decently robust."
"The data copy template is a valuable feature."
"An excellent tool for pipeline orchestration."
"Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness."
"The overall performance is quite good."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"The governance is powerful, and you can look up services very easily, which may reduce some development cycle time."
 

Cons

"In the next release, it's important that some sort of scheduler for running tasks is added."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"When the record fails, it's tough to identify and log."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"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."
"Compared to Informatica, it's really crude. I think it's a very crude solution."
"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."
"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

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"This is a cost-effective solution."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"The pricing is a bit on the higher end."
"The cost is based on the amount of data sets that we are ingesting."
"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"The price you pay is determined by how much you use it."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
10%
Outsourcing Company
7%
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 Enterprise64
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: October 2026.
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