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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 (27th), Data Warehouse (16th)
Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
 

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."
"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."
"The most valuable features are data transformations."
"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 feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"It is a complete ETL Solution."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"Data Factory's most valuable feature is Copy Activity."
 

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."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"The product could provide more ways to import and export data."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"I do not have any notes for improvement."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"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."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
 

Pricing and Cost Advice

Information not available
"The pricing is a bit on the higher end."
"ADF is cheaper compared to AWS."
"I would not say that this product is overly expensive."
"The solution's pricing is competitive."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"This is a cost-effective solution."
"The licensing cost is included in the Synapse."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Government
11%
Educational Organization
9%
Insurance Company
9%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
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: March 2025.
846,617 professionals have used our research since 2012.