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Actian Ingres vs Azure Data Factory comparison

 

Comparison Buyer's Guide

Executive Summary

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

Actian Ingres
Average Rating
8.6
Reviews Sentiment
7.9
Number of Reviews
2
Ranking in other categories
Relational Databases Tools (26th), Data Warehouse (17th)
Azure Data Factory
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
 

Featured Reviews

GH
Reliable performance enhances operations with good technical support
We run the entire IRS system, the income system, and the tax system. We also manage the entire Absa banking system in Africa. There's a lot of database applications, similar to those used in banks and the IRS The most valuable features for us are reliability and performance. Our system is used…
Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.

Quotes from Members

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

Pros

"The most valuable features for us are reliability and performance."
"The deployment of our solution across a number of servers using Ingres .NET has meant that we can protect the database server behind a highly secure firewall and deploy the front end solutions on a normal web server."
"The best part of this product is the extraction, transformation, and load."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"The solution can scale very easily."
"The data copy template is a valuable feature."
 

Cons

"The ability to reset the log file without stopping the DBMS would be helpful for us."
"The seamless integration is a bit of an issue."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"The pricing scheme is very complex and difficult to understand."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"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."
"When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."
"The product integration with advanced coding options could cater to users needing more customization."
 

Pricing and Cost Advice

Information not available
"The price is fair."
"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."
"The price you pay is determined by how much you use it."
"Pricing appears to be reasonable in my opinion."
"It's not particularly expensive."
"I would rate Data Factory's pricing nine out of ten."
"ADF is cheaper compared to AWS."
"Data Factory is expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
22%
Insurance Company
8%
University
8%
Government
8%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Actian Ingres?
The seamless integration is a bit of an issue. I would like to see more direct connectors and stuff like SQLAlchemy. It's there but isn't available as a standard, so it involves going to GitHub to ...
What is your primary use case for Actian Ingres?
We run the entire IRS system, the income system, and the tax system. We also manage the entire Absa banking system in Africa. There's a lot of database applications, similar to those used in banks ...
What is your experience regarding pricing and costs for Actian Ingres?
Initially, it's a lot less expensive than competitors. Price performance has always been a priority, ensuring we remain competitive in the market.
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

Ingres, Ingres 2006
No data available
 

Overview

 

Sample Customers

Groupe Adeo, IsCool Entertainment
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 Actian Ingres vs. Azure Data Factory and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.