We performed a comparison between Azure Data Factory and Toad Data Point based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."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 security of the agent that is installed on-premises is very good."
"The solution is okay."
"Its integrability with the rest of the activities on Azure is most valuable."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"From what we have seen so far, the solution seems very stable."
"Data Factory's best features are simplicity and flexibility."
"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 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."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The speed and performance need to be improved."
"Azure Data Factory's pricing in terms of utilization could be improved."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"Data Factory's performance during heavy data processing isn't great."
"It would be better if it had machine learning capabilities."
"It can improve from the perspective of active logging. It can provide active logging information."
"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."
"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 Microsoft Azure Synapse Analytics, whereas Toad Data Point is most compared with SSIS, Alteryx, SAS Enterprise Guide, Oracle Data Integrator (ODI) and Denodo.
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We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
