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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
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 October 2025, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.6%, up from 0.9% compared to the previous year. The mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.2%
Ab Initio Co>Operating System1.6%
Other93.2%
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."
"Co>Operating System's most valuable feature is its ability to process bulk data effectively."
"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 reaches the highest performance and is very flexible in processing huge amounts of data."
"The most valuable feature of this solution would be ease of use."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"It is easy to deploy workflows and schedule jobs."
"The security of the agent that is installed on-premises is very good."
"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."
"We have found the bulk load feature very valuable."
"The scalability of the product is impressive."
"It makes it easy to collect data from different sources."
 

Cons

"Ab Initio Co>Operating System is a very expensive product."
"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."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"There is a problem with the integration with third-party solutions, particularly with SAP."
"The product could provide more ways to import and export data."
"My only problem is the seamless connectivity with various other databases, for example, SAP."
"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
 

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
"The pricing model is based on usage and is not cheap."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"Understanding the pricing model for Data Factory is quite complex."
"Data Factory is affordable."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
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Top Industries

By visitors reading reviews
Financial Services Firm
33%
Computer Software Company
8%
Insurance Company
6%
Comms Service Provider
5%
Financial Services Firm
13%
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.
868,787 professionals have used our research since 2012.