We performed a comparison between Azure Data Factory and Delphix based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The best part of this product is the extraction, transformation, and load."
"The solution can scale very easily."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"Data Factory's best features are simplicity and flexibility."
"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."
"I am one hundred percent happy with the stability."
"We haven't had any issues connecting it to other products."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"Delphix's technical support is fairly knowledgeable."
"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."
"Data being available anytime is a life changer."
"Delphix can do data masking in any format. Not many solutions can do that."
"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 is a stable solution."
"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."
"Delphix interfaces are simple to use and very user friendly."
"It would be better if it had machine learning capabilities."
"Some of the optimization techniques are not scalable."
"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."
"The deployment should be easier."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"When the record fails, it's tough to identify and log."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"Delphix is a strong solution for virtualization, but it's not strong enough for creating data, so we have to use another solution for creating new data."
"Delphix could be improved with better usability and an agentless option."
"Could be improved with richer reporting capabilities."
"One thing I would like to see improved is the unusual error messages we receive and some slowness we have while we are updating."
"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."
"As a commercial model, it's very good. However, maybe it would be nice for Delphix to integrate with some other platforms."
"The solution's price needs improvement."
"My only complaint about this solution is the price."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Delphix is ranked 1st in Test Data Management with 15 reviews. Azure Data Factory is rated 8.0, while Delphix is rated 8.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Delphix writes "Handles large volumes of data with ease, but the self-service portal must be more user-friendly". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Delphix is most compared with Informatica Test Data Management (TDM), Denodo, Broadcom Test Data Manager, IBM InfoSphere Optim Test Data Management (TDM) and Cohesity DataProtect. See our Azure Data Factory vs. Delphix report.
We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
