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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
26th
Average Rating
9.0
Reviews Sentiment
7.7
Number of Reviews
4
Ranking in other categories
Workload Automation (17th)
Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (2nd)
 

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.6%, up from 0.8% compared to the previous year. The mindshare of Azure Data Factory is 5.6%, down from 11.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.6%
Ab Initio Co>Operating System1.6%
Other92.8%
Data Integration
 

Featured Reviews

AM
Enables creation of sophisticated applications with powerful parallelism and quick, effective support
The most valuable features of Ab Initio Co>Operating System are its performance and the ability to implement parallelism. There are three kinds of parallelism in Ab Initio Co>Operating System, which allow us to create very sophisticated solutions for almost any kind of application. This parallelism is one of the strongest features. Additionally, its scalability offers a unique way to escalate applications that differs from other technologies. In terms of data processing, the emphasis is on understanding the data. Data profiling is fundamental, and Ab Initio Co>Operating System integrates tools to perform this within the GDE, as well as specialized products for this purpose. Data profiling graphs can be implemented when necessary to understand the data sources.
KandaswamyMuthukrishnan - PeerSpot reviewer
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

"Ab Initio Co>Operating System support is the best I have encountered."
"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 reaches the highest performance and is very flexible in processing huge amounts of data."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The scalability of the product is impressive."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"The security of the agent that is installed on-premises is very good."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"The most valuable feature of this solution would be ease of use."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
 

Cons

"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"Ab Initio Co>Operating System is a very expensive product."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"Some known bugs and issues with Azure Data Factory could be rectified."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"Some of the optimization techniques are not scalable."
"The inability to connect local VMs and local servers into the data flow is a limitation that prevents giving Azure Data Factory a perfect score."
"The initial setup is not very straightforward."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
 

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"This is a cost-effective solution."
"Data Factory is expensive."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"The pricing is a bit on the higher end."
"ADF is cheaper compared to AWS."
"The licensing cost is included in the Synapse."
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Top Industries

By visitors reading reviews
Financial Services Firm
34%
Computer Software Company
8%
Insurance Company
6%
Comms Service Provider
5%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise19
Large Enterprise55
 

Questions from the Community

What needs improvement with Ab Initio Co>Operating System?
If Ab Initio Co>Operating System could provide an environment that allows users to practice or use it on their own computers, it would be beneficial. Additionally, having more accessible online ...
What is your primary use case for Ab Initio Co>Operating System?
I am primarily in charge of building applications using Ab Initio Co>Operating System.
What advice do you have for others considering Ab Initio Co>Operating System?
If Ab Initio Co>Operating System provided an environment for users to practice on their own computers, it would be preferable. I sometimes recommend it based on company needs. I rate it eight or...
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 2025.
867,341 professionals have used our research since 2012.