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."The overall performance is quite good."
"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."
"Its integrability with the rest of the activities on Azure is most valuable."
"The security of the agent that is installed on-premises is very good."
"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."
"It is a complete ETL Solution."
"The most valuable feature is the ease in which you can create an ETL pipeline."
"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"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."
"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."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"The speed and performance need to be improved."
"Azure Data Factory can improve by having support in the drivers for change data capture."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"There aren't many third-party extensions or plugins available in the solution."
"The pricing scheme is very complex and difficult to understand."
"The pricing model should be more transparent and available online."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"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."
"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."
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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