We performed a comparison between Azure Data Factory and Toad Data Point 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."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."
"From what we have seen so far, the solution seems very stable."
"The security of the agent that is installed on-premises is very good."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"Its integrability with the rest of the activities on Azure is most valuable."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The solution can scale very easily."
"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."
"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."
"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."
"I would like to see this time travel feature in Snowflake added to Azure Data Factory."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"The product could provide more ways to import and export data."
"Some of the optimization techniques are not scalable."
"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."
"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."
Azure Data Factory is ranked 1st in Data Integration with 81 reviews while Toad Data Point is ranked 38th in Data Integration with 2 reviews. Azure Data Factory is rated 8.0, while Toad Data Point 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 Toad Data Point writes "Easy to learn, good connectivity to multiple data sources, and helpful supprt". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Toad Data Point is most compared with SSIS, Alteryx, SAS Enterprise Guide, Oracle Data Integrator (ODI) and Denodo. See our Azure Data Factory vs. Toad Data Point report.
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