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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 (16th)
Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
94
Ranking in other categories
Data Integration (4th), Cloud Data Warehouse (5th)
 

Featured Reviews

GH
Sr Sales Engineer at a tech vendor with 10,001+ employees
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…
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 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 most valuable features for us are reliability and performance."
"Ingres is the only database solution that has maintained a level of consistency and integrity about the way users interact with it."
"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."
"The data pipeline and the orchestration functionality are the most valuable aspects of the solution, and the interface is very good, as it seeks to be very responsive and intuitive."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface, which helps with workflow management because we can just drag any tables or data sources we need and, because of how easy it is to drag and drop, we can deliver things very quickly."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"The scalability of the product is impressive."
"The initial setup is pretty simple and it can be deployed in a couple of hours."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
 

Cons

"The seamless integration is a bit of an issue."
"The ability to reset the log file without stopping the DBMS would be helpful for us."
"The ability to reset the log file without stopping the DBMS would be helpful for us."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"Data Factory's performance during heavy data processing isn't great."
"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
 

Pricing and Cost Advice

Information not available
"ADF is cheaper compared to AWS."
"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."
"The cost is based on the amount of data sets that we are ingesting."
"The solution is cheap."
"This is a cost-effective solution."
"I would rate Data Factory's pricing nine out of ten."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"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
Computer Software Company
13%
Comms Service Provider
11%
Construction Company
10%
Manufacturing Company
9%
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 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: April 2026.
893,221 professionals have used our research since 2012.