Actian Ingres vs Azure Data Factory comparison

Actian and Microsoft are both solutions in the Cloud Data Warehouse category. Additionally, 100% of Actian users are willing to recommend the solution, compared to 92% of Microsoft users who would recommend it.

Actian Ingres

Read 1 Actian Ingres review

315 Views
163 Comparison Views

100% willing to recommend

Azure Data Factory

Read 86 Azure Data Factory reviews

5,937 Views
4,775 Comparison Views

92% willing to recommend

Actian Ingres

Azure Data Factory

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Executive Summary

We performed a comparison between Actian Ingres and Azure Data Factory based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: October 2024).

Buyer's Guide

Cloud Data Warehouse

October 2024

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Helped 814,763 peers since 2012

Categories and Ranking

Actian Ingres

Average Rating

9.0

Number of Reviews

Ranking in other categories

Data Warehouse (22nd)

Azure Data Factory

Average Rating

8.0

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

Featured Reviews

Edward Griffiths

Managing Director at Jet iT Ltd.

Jan 28, 2021

Good multi-platform SQL compatibility, as well as performance and data integrity

We currently run Web server solutions (CMS, CRM business solutions). Our CMS solution is obviously very text-oriented, and our CRM Business Solution was built for a finance and asset management business, which is capable of handling millions of transactions. Performance, access control, data…

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Camilo Velasco

CTO at Sosty

Oct 27, 2022

No deployment cost, quick implementation, pay only for the processing time and data

The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…

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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."

"Its integrability with the rest of the activities on Azure is most valuable."

"We haven't had any issues connecting it to other products."

"We have found the bulk load feature very valuable."

"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."

"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."

"It is beneficial that the solution is written with Spark as the back end."

"It makes it easy to collect data from different sources."

"The trigger scheduling options are decently robust."

More Azure Data Factory pros

Cons

"The ability to reset the log file without stopping the DBMS would be helpful for us."

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"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."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

"The Microsoft documentation is too complicated."

"There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."

"The solution needs to be more connectable to its own services."

"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."

"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."

More Azure Data Factory cons

Pricing and Cost Advice

Information not available

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"I don't see a cost; it appears to be included in general support."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"The solution is cheap."

"Product is priced at the market standard."

"Data Factory is expensive."

"The pricing is a bit on the higher end."

"I would not say that this product is overly expensive."

More Azure Data Factory pricing and cost advice

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814,763 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

25%

Government

11%

Manufacturing Company

Educational Organization

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

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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...

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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...

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Comparisons

Oracle Database Appliance vs Actian Ingres

Compared 37% of the time

Teradata vs Actian Ingres

Compared 32% of the time

Snowflake vs Actian Ingres

Compared 32% of the time

More Actian Ingres Competitors

Informatica PowerCenter vs Azure Data Factory

Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 11% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Product Reports

Buyer's Guide

Data Warehouse

October 2024

Download Actian Ingres product report

Buyer's Guide

Azure Data Factory

November 2024

Download Azure Data Factory product report

Also Known As

Ingres, Ingres 2006

No data available

Learn More

Video not available

Actian

Microsoft

Overview

Actian’s Ingres is a leading, enterprise-grade database management system designed to reduce IT costs and time-to-value, while delivering the strength and features expected from an enterprise-class database. Ingres 10.2 is the latest version of the database, containing enhancements that will make it easier to internationalize customer applications. Along with improved performance and reduced configuration overhead, users can take their first steps into big data analytics with the new Window functions.

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

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 Snowflake Computing, Microsoft, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: October 2024.

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