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Ab Initio Co>Operating System vs Azure Data Factory comparison

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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
32nd
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 (8th)
 

Mindshare comparison

As of November 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 4.4% 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 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."
"Co>Operating System's most valuable feature is its ability to process bulk data effectively."
"Ab Initio Co>Operating System excels at providing data lineage regardless of the type of data I have."
"Ab Initio Co>Operating System support is the best I have encountered."
"The data pipeline and the orchestration functionality are the most valuable aspects of the solution, and the interface is very good, as it seeks to be very responsive and intuitive."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"It is easy to integrate."
"The flexibility that Azure Data Factory offers is great."
"The security of the agent that is installed on-premises is very good."
"Since I have mentioned that I can use the drag-and-drop activities, by using that, Azure Data Factory is saving a lot of time, my organization has already been saving the time and generating more income with that."
"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."
"Azure Data Factory was not difficult to deploy because it is a small area, so we completed it very quickly."
 

Cons

"Ab Initio Co>Operating System is a very expensive product."
"Ab Initio Co>Operating System is a costly technology."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"While Ab Initio Co>Operating System has positive attributes, I find that certain features can sometimes be difficult to understand."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"I have encountered a problem with the integration with third-party solutions, particularly with SAP."
"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."
"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."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"Compared to Informatica, it's really crude. I think it's a very crude solution."
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."
"The number of standard adaptors could be extended further."
"Areas for improvement would be the product's performance and its mapping of data flow."
 

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
"It's not particularly expensive."
"The licensing cost is included in the Synapse."
"This is a cost-effective solution."
"I don't see a cost; it appears to be included in general support."
"The price is fair."
"Understanding the pricing model for Data Factory is quite complex."
"The cost is based on the amount of data sets that we are ingesting."
"The pricing is a bit on the higher end."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Comms Service Provider
11%
Construction Company
10%
Healthcare Company
6%
Manufacturing Company
11%
Financial Services Firm
10%
Outsourcing Company
8%
Computer Software 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: November 2026.
920,769 professionals have used our research since 2012.