Anonymous UserSenior Manager at a tech services company
Paul KellettBI Practioner - Consultant at KIS Ltd
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added."
"The solution has a good interface and the integration with GitHub is very useful."
"The user interface is very good. It makes me feel very comfortable when I am using the tool."
"From what we have seen so far, the solution seems very stable."
"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."
"The most valuable features are data transformations."
"Powerful but easy-to-use and intuitive."
"I found the initial setup very easy."
"The most valuable feature is the metadata generated code."
"I like the data vault implementations."
"The thing we missed most was data update, but this is now available as of two weeks ago."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."
"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 speed and performance need to be improved."
"The product could provide more ways to import and export data."
"The Microsoft documentation is too complicated."
"The solution can be a little more user-friendly on enterprise-level where people use it."
"Project-based searching of data objects in the data warehouse browser needs to be improved."
"Customization could be better."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"This is a cost-effective solution."
"The price you pay is determined by how much you use it."
"Understanding the pricing model for Data Factory is quite complex."
"I would not say that this product is overly expensive."
"Our company purchased a corporate unlimited license."
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Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.
Azure Data Factory is ranked 4th in Data Integration Tools with 19 reviews while WhereScape RED is ranked 16th in Data Integration Tools with 3 reviews. Azure Data Factory is rated 7.8, while WhereScape RED is rated 7.6. The top reviewer of Azure Data Factory writes "Reasonably priced, scales well, good performance". On the other hand, the top reviewer of WhereScape RED writes "Automation tool - spend less time writing code". Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, SAP Data Services and Palantir Gotham, whereas WhereScape RED is most compared with SSIS, Informatica PowerCenter, Matillion ETL, Talend Open Studio and Informatica Cloud Data Integration. See our Azure Data Factory vs. WhereScape RED report.
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