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Ab Initio Co>Operating System vs Azure Data Factory comparison

 

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
27th
Average Rating
8.8
Reviews Sentiment
6.8
Number of Reviews
5
Ranking in other categories
Workload Automation (18th)
Azure Data Factory
Ranking in Data Integration
4th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (5th)
 

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.2%, down from 1.6% compared to the previous year. The mindshare of Azure Data Factory is 2.4%, down from 8.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.4%
Ab Initio Co>Operating System1.2%
Other96.4%
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.
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.

Quotes from Members

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

Pros

"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 support is the best I have encountered."
"Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."
"Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."
"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."
"Azure Data Factory is a low code, no code platform, which is helpful."
"The most valuable features are data transformations."
"The solution has a good interface and the integration with GitHub is very useful."
"I like how you can create your own pipeline in your space and reuse those creations."
"Powerful but easy-to-use and intuitive."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"We haven't had any issues connecting it to other products."
"The most valuable feature of this solution is that it allows more data between on-premises and cloud solutions."
 

Cons

"While Ab Initio Co>Operating System has positive attributes, I find that certain features can sometimes be difficult to understand."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"Ab Initio Co>Operating System is a very expensive product."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"To my mind, the solution needs to be more connectable to its own services."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"The number of standard adaptors could be extended further."
"The performance and stability are touch and go."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"When the record fails, it's tough to identify and log."
"When we initiated the cluster, it took some time to start the process."
"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."
 

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
"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."
"Product is priced at the market standard."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"Data Factory is affordable."
"The price is fair."
"I would not say that this product is overly expensive."
"I would rate Data Factory's pricing nine out of ten."
"It's not particularly expensive."
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893,221 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
27%
Construction Company
9%
Comms Service Provider
6%
Healthcare Company
6%
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise20
Large Enterprise57
 

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: April 2026.
893,221 professionals have used our research since 2012.