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Actian Ingres vs Azure Data Factory comparison

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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 (29th), Data Warehouse (17th)
Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
Data Integration (6th), Cloud Data Warehouse (6th)
 

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…
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

"Ingres is the only database solution that has maintained a level of consistency and integrity about the way users interact with it."
"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."
"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"The flexibility that Azure Data Factory offers is great."
"The most valuable feature of this solution is that it allows more data between on-premises and cloud solutions."
"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."
"My only advice is that Azure Data Factory, particularly for data ingestion, is a good choice."
"The most valuable features are data transformations."
"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."
"But, I feel that if the usage extends beyond a certain threshold, it will start getting expensive."
"DataStage is easier to learn than Data Factory because it's more visual."
"The only challenge with Azure Data Factory is its exception-handling mechanism."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"Additionally, the ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features."
 

Pricing and Cost Advice

Information not available
"Pricing appears to be reasonable in my opinion."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"I don't see a cost; it appears to be included in general support."
"The cost is based on the amount of data sets that we are ingesting."
"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"The price is fair."
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Top Industries

By visitors reading reviews
Comms Service Provider
14%
Construction Company
12%
Computer Software Company
10%
Manufacturing Company
9%
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
8%
Construction 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 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
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