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

Ab Initio Co>Operating System vs Azure Data Factory comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

Ab Initio Co>Operating System
Ranking in Data Integration
31st
Average Rating
8.8
Reviews Sentiment
6.8
Number of Reviews
5
Ranking in other categories
Workload Automation (20th)
Azure Data Factory
Ranking in Data Integration
6th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
Cloud Data Warehouse (6th)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.1%, down from 1.5% compared to the previous year. The mindshare of Azure Data Factory is 2.2%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.2%
Ab Initio Co>Operating System1.1%
Other96.7%
Data Integration
 

Featured Reviews

reviewer2777331 - PeerSpot reviewer
Data Analyst at a tech services company with 11-50 employees
Metadata-driven lineage has transformed our data governance and delivers flexible integration
While Ab Initio Co>Operating System has positive attributes, I find that certain features can sometimes be difficult to understand. When I have too many import feeds opened, they can conflict with each other. If I'm using two separate import feeds for running my codes and they contain the same code inside, they experience conflicts, which creates difficulties. I believe this should not occur because it requires me to clear the work queue to run my import feed. I don't believe there are any missing features in Ab Initio Co>Operating System so far, but I would appreciate a better search feature. The global search is excellent, but a more in-depth search feature that allows me to search within the feeds or assets would be beneficial.
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.

Quotes from Members

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

Pros

"Ab Initio Co>Operating System support is the best I have encountered."
"Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."
"The graphical interface of Ab Initio Co>Operating System is very easy to understand and allows me to visualize the data flow effectively."
"Ab Initio Co>Operating System excels at providing data lineage regardless of the type of data I have."
"Co>Operating System's most valuable feature is its ability to process bulk data effectively."
"I like the basic features like the data-based pipelines."
"We haven't had any issues connecting it to other products."
"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."
"From what we have seen so far, the solution seems very stable."
"I can do everything I want with SSIS and Azure Data Factory."
"Azure Data Factory is a good tool."
"It is beneficial that the solution is written with Spark as the back end."
"The reason that we implemented this product is for the full integration with the whole Azure environment."
 

Cons

"Ab Initio Co>Operating System is a costly technology."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"Ab Initio Co>Operating System is a very expensive product."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"While Ab Initio Co>Operating System has positive attributes, I find that certain features can sometimes be difficult to understand."
"Azure Data Factory didn't bring a lot of good when we were also using Alteryx."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Some prebuilt data source or data connection aspects are generic."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"From my perspective, the pricing seems like it could be more user-friendly."
"The Microsoft documentation is too complicated."
"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."
"It can improve from the perspective of active logging. It can provide active logging information."
 

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
"ADF is cheaper compared to AWS."
"The solution's pricing is competitive."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"Data Factory is affordable."
"The solution is cheap."
"Data Factory is expensive."
"The price you pay is determined by how much you use it."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
917,433 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
24%
Comms Service Provider
10%
Construction Company
9%
Healthcare Company
6%
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
7%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise64
 

Questions from the Community

What needs improvement with Ab Initio Co>Operating System?
While Ab Initio Co>Operating System has positive attributes, I find that certain features can sometimes be difficult to understand. When I have too many import feeds opened, they can conflict wi...
What is your primary use case for Ab Initio Co>Operating System?
The flexibility of data type and source integration for my IT ecosystem is excellent because Ab Initio Co>Operating System uses metadata, so it doesn't actually access the data; it takes the dat...
What advice do you have for others considering Ab Initio Co>Operating System?
I have not been involved in the security access of the platform's data security features, but I know that Ab Initio Co>Operating System is very careful because it doesn't access any customer dat...
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...
 

Also Known As

Co>Operating System
No data available
 

Overview

 

Sample Customers

A multinational transportation company
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
Find out what your peers are saying about Ab Initio Co>Operating System vs. Azure Data Factory and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.