Azure Data Factory vs WhereScape RED comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Number of Reviews
81
Ranking in other categories
Cloud Data Warehouse (3rd)
WhereScape RED
Ranking in Data Integration
48th
Average Rating
8.2
Number of Reviews
15
Ranking in other categories
No ranking in other categories
 

Market share comparison

As of June 2024, in the Data Integration category, the market share of Azure Data Factory is 9.6% and it decreased by 29.4% compared to the previous year. The market share of WhereScape RED is 1.1% and it increased by 23.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
Unique Categories:
Cloud Data Warehouse
13.6%
No other categories found
 

Featured Reviews

KR
Mar 6, 2024
Offers good integration with SQL pools and serverless architecture
We have multiple banking applications running on SSIS pipelines. We're in the process of upgrading them to a hybrid cloud architecture. For that, we use Azure Data Factory to move data from on-premises to the cloud – mainly for back-end database operations and ETL transformations. We primarily use it to load data from an on-premises SQL Server to either Blob storage or an Azure SQL data warehouse. For other integrations, especially those outside of Azure, we tend to use Informatica Cloud Services (ICS). For structured data loading, we use it However, we use Informatica for unstructured or semi-structured data. We also use Snowflake for ETL processes and sometimes for streaming. In my opinion, ADF isn't as suitable for streaming – for streaming, Snowflake streamlets or Informatica structured streaming are more reliable. ADF works well for batch processing, though.
SM
Jul 9, 2021
Quick to set up, flexible, and stable
The scheduling part I don't like due to the fact that it allows you to schedule as a parent and child and other things, however, the error trackability has to be a little more user-friendly. It's also not user-friendly in the sense that it loads all the jobs and there are not enough filters so that it doesn't need to load everything. If the job fails, you don't get any type of alert or email. It would be ideal if there was some sort of automated alert message. Technical support isn't the best. It would be ideal if we understood how to do it in a card exception regarding exclusion, where the card is captured separately rather than filling the whole process on the data inbound side. Certain workloads like this are organized in such a way where you seem to be doubling the work as opposed to streamlining the process.

Quotes from Members

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

Pros

"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"An excellent tool for pipeline orchestration."
"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."
"I am one hundred percent happy with the stability."
"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."
"The scalability of the product is impressive."
"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good."
"We have found the bulk load feature very valuable."
"Naturally produces a way to easily debug your DW data solutions."
"Quickly develops a data warehouse for our organization with documentation and can track back/forward features."
"I like the data vault implementations."
"It has a built-in automatic scheduling environment."
"Their support staff are very knowledgeable, courteous, and professional. I feel their support staff go above and beyond to assure their customers are satisfied."
"The most valuable feature is the metadata generated code."
"WhereScape RED has improved our business's ability to generate needed reporting without requiring a large team of developers to manually code all of the necessary plumbing."
"WhereScape's deployment package is a fantastic feature. The application allows for selecting specific objects that you would like to deploy from one environment to another rather than deploying the entire database."
 

Cons

"It can improve from the perspective of active logging. It can provide active logging information."
"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."
"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."
"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."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."
"The pricing scheme is very complex and difficult to understand."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"No support for change data capture or delta detection - that must be custom coded ."
"Improve the object renaming ability (it works, but it could be more automated)."
"They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box."
"It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully."
"Technical support isn't the best."
"Customization could be better."
"The solution can be a little more user-friendly on enterprise-level where people use it."
"The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate."
 

Pricing and Cost Advice

"I don't see a cost; it appears to be included in general support."
"I would rate Data Factory's pricing nine out of ten."
"The licensing cost is included in the Synapse."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"Understanding the pricing model for Data Factory is quite complex."
"It's not particularly expensive."
"The pricing is a bit on the higher end."
"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."
"Speed to market of a warehouse solution at a relatively inexpensive price point."
"Our company purchased a corporate unlimited license."
"ROI is at least 10 times."
"Factor in the price of specialized consulting who know this product. They're hard to find and expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
13%
Manufacturing Company
8%
Healthcare Company
7%
Financial Services Firm
16%
Government
11%
Insurance Company
9%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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...
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Overview

 

Sample Customers

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
British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.
Find out what your peers are saying about Azure Data Factory vs. WhereScape RED and other solutions. Updated: May 2024.
787,226 professionals have used our research since 2012.