Try our new research platform with insights from 80,000+ expert users

Azure Data Factory vs Perforce Delphix 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

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (2nd)
Perforce Delphix
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
16
Ranking in other categories
Test Data Management (1st), Copy Data Management (1st), Data Masking (1st)
 

Mindshare comparison

Azure Data Factory and Perforce Delphix aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 7.4%, down 11.9% compared to last year.
Perforce Delphix, on the other hand, focuses on Test Data Management, holds 28.4% mindshare, down 30.0% since last year.
Data Integration
Test Data Management
 

Featured Reviews

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.
Amit-Rastogi - PeerSpot reviewer
Handles large volumes of data with ease, but the self-service portal must be more user-friendly
My advice depends on an organization’s needs. If an organization has a large volume of data, Delphix is a good choice. It is robust and very efficient with large volumes of data and different kinds of databases. If someone is looking for a one-stop solution with all features and capabilities, they must consider a different tool. Overall, I rate the product a six or seven out of ten.

Quotes from Members

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

Pros

"Data Factory's best features are simplicity and flexibility."
"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"Data Factory's most valuable feature is Copy Activity."
"I can do everything I want with SSIS and Azure Data Factory."
"The data is more scalable."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The overall performance is quite good."
"The most valuable aspect is the product is easy to manage, with a good dashboard. We can easily configure it on the front end and back end."
"It provides the ability to roll back to a point in time or roll forward without the assistance of a DBA."
"Delphix's data distribution is powerful. It's easy to distribute data with this solution. The main advantage of Delphix is that it generates copies of data."
"Delphix's technical support is fairly knowledgeable."
"Delphix can do data masking in any format. Not many solutions can do that."
"The performance offered by the product, its price, and its ability to handle structured and unstructured data were good when compared to the other products in the market."
"The solution's most valuable feature is data cloning."
"The most valuable feature is creating virtual databases."
 

Cons

"The product integration with advanced coding options could cater to users needing more customization."
"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 setup and configuration process could be simplified."
"When the record fails, it's tough to identify and log."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"There are limitations when processing more than one GD file."
"The pricing model should be more transparent and available online."
"I do not have any notes for improvement."
"This product should be extended and made to be a more comprehensive storage solution."
"Delphix needs better partnerships from a customer perspective. It's how they sell it, not what they're selling."
"It would be good if any CI/CD and DevOps-aligned feature could be triggered through the DevOps pipeline."
"One thing I would like to see improved is the unusual error messages we receive and some slowness we have while we are updating."
"The solution's price needs improvement."
"Could be improved with richer reporting capabilities."
"When it comes to unstructured and structured data, if Delphix can comply with the requirements for most of the structured data, it would be good, especially if it can include the data scanning part."
"Delphix could be improved with better usability and an agentless option."
 

Pricing and Cost Advice

"The licensing cost is included in the Synapse."
"The price is fair."
"This is a cost-effective solution."
"The solution's pricing is competitive."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"The pricing model is based on usage and is not cheap."
"Data Factory is affordable."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"The cost is $370K annually for the Delphix Masking Engine and Delphix Virtualization Engine."
"The solution's pricing was reasonable and lower than one million."
"I rate the product price seven to eight on a scale of one to ten, where one is the low price, and ten is the high price."
"I would say the price is a little high but affordable for our needs."
"The product is a little bit expensive."
"Delphix's pricing is affordable."
"It is an expensive solution."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
864,574 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
Financial Services Firm
29%
Insurance Company
9%
Computer Software Company
9%
Manufacturing Company
8%
 

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...
What do you like most about Delphix?
The performance offered by the product, its price, and its ability to handle structured and unstructured data were good when compared to the other products in the market.
What is your experience regarding pricing and costs for Delphix?
The solution's pricing was reasonable and lower than one million.
What needs improvement with Delphix?
It would be good if any CI/CD and DevOps-aligned feature could be triggered through the DevOps pipeline. Right now, we have to trigger the jobs and then integrate them with DevOps, which requires s...
 

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
Alberta Blue Cross, Fastweb, SABMiller, California Insurance Guarantee Association (CIGA), Molina Healthcare, AT&T, Nike, Facebook, eBay, Comcast, IBM, HP, Intel, Avaya, BNP Paribas, P&B, Toyota, Walmart, Best Western, Directv, JPMorganChase, Verizon, Bank of the West, Fannie Mae
Find out what your peers are saying about Azure Data Factory vs. Perforce Delphix and other solutions. Updated: January 2020.
864,574 professionals have used our research since 2012.