We performed a comparison between Azure Data Factory and ETL Solutions Transformation Manager 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 security of the agent that is installed on-premises is very good."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"We haven't had any issues connecting it to other products."
"I am one hundred percent happy with the stability."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"The solution can scale very easily."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"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."
"Back in the day, we could only get reports and analyze what happened after the fact, but today now we can generate real-time insights. Transformation Manager feeds your data science projects. We generate models and then give them to the clients, so they can come up with real-time predictions and recommendations in addition to reporting."
"It is among the best, even if not widely known."
"It is a reliable solution."
"The one element of the solution that we have used and could be improved is the user interface."
"We require Azure Data Factory to be able to connect to Google Analytics."
"Data Factory's cost is too high."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The speed and performance need to be improved."
"Azure Data Factory uses many resources and has issues with parallel workflows."
"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 pricing model should be more transparent and available online."
"There is room for improvement in the solution's visualization tool."
"They should build a functional architecture based on queuing."
"Transformation Manager reporting could be better. There are better options for reporting tools these days. We use Microsoft BI sometimes, but Tableau is becoming too expensive. Microsoft BI's visualization features are maturing."
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Azure Data Factory is ranked 1st in Data Integration with 81 reviews while ETL Solutions Transformation Manager is ranked 32nd in Data Integration with 3 reviews. Azure Data Factory is rated 8.0, while ETL Solutions Transformation Manager is rated 9.0. 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 ETL Solutions Transformation Manager writes "It lets us create models so we can generate real-time predictions and insights for a our clients". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas ETL Solutions Transformation Manager is most compared with webMethods Integration Server, Axway AMPLIFY Application Integration, TIBCO Spotfire, Denodo and Altair Monarch. See our Azure Data Factory vs. ETL Solutions Transformation Manager report.
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