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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 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."
"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."
"The graphical interface of Ab Initio Co>Operating System is very easy to understand and allows me to visualize the data flow effectively."
"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"Data Factory's most valuable feature is Copy Activity."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"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 is the ease in which you can create an ETL pipeline."
"We have been using drivers to connect to various data sets and consume data."
 

Cons

"Ab Initio Co>Operating System is a costly technology."
"While Ab Initio Co>Operating System has positive attributes, I find that certain features can sometimes be difficult to understand."
"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."
"I did not see any positive impact from Azure Data Factory overall."
"The setup and configuration process could be simplified."
"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."
"There's space for improvement in the development process of the data pipelines."
"Compared to Informatica, it's really crude. I think it's a very crude solution."
"Some known bugs and issues with Azure Data Factory could be rectified."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"The deployment should be easier."
 

Pricing and Cost Advice

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
"The licensing cost is included in the Synapse."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Pricing appears to be reasonable in my opinion."
"Understanding the pricing model for Data Factory is quite complex."
"Pricing is comparable, it's somewhere in the middle."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
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920,769 professionals have used our research since 2012.
 

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.