Anonymous UserSenior Manager at a tech services company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"It is a complete ETL Solution."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"It is really easy to set up and the interface is easy to use."
"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 user interface could use improvement. It's not a major issue but it's something that can be improved."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"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."
"We are running the community version right now, which can be used free of charge."
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.
StreamSets Dataflow Performance Manager was created to enable enterprises to harness their data in motion. It unifies visibility and control of dataflows, which reduces management costs, improves data quality and enables IT agility.
Azure Data Factory is ranked 3rd in Data Integration Tools with 20 reviews while StreamSets is ranked 22nd in Data Integration Tools with 1 review. Azure Data Factory is rated 7.8, while StreamSets is rated 8.0. The top reviewer of Azure Data Factory writes "Reasonably priced, scales well, good performance". On the other hand, the top reviewer of StreamSets writes "Easy to set up and use, and the functionality for transforming data is good". Azure Data Factory is most compared with Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration, SAP Data Services and IBM InfoSphere DataStage, whereas StreamSets is most compared with Informatica PowerCenter, Talend Open Studio, Spring Cloud Data Flow, Oracle GoldenGate and SSIS.
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