Azure Data Factory vs Toad Data Point comparison

"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."

"The data is more scalable."

"The most valuable feature of this solution would be ease of use."

"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."

"Azure Data Factory became more user-friendly when data-flows were introduced."

"The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem."

"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."

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."

"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."

"I have never experienced any issues with customer service."

"The best thing about it is its automation features."

"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."

"We love it."

"With Toad Data Point, I can automate most steps automatically."

"The one element of the solution that we have used and could be improved is the user interface."

"It can improve from the perspective of active logging. It can provide active logging information."

"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

"When the record fails, it's tough to identify and log."

"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."

"The setup and configuration process could be simplified."

"Data Factory's monitorability could be better."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."

"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."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"It's not user-friendly. Once you start using it, you eventually get to know the features."

"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."

"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"The pricing is a bit on the higher end."

"Data Factory is expensive."

"Data Factory is affordable."

"Understanding the pricing model for Data Factory is quite complex."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

"I don't see a cost; it appears to be included in general support."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

"The cost of this product is reasonable."

"The price of Toad Data Point was approximately $500 annually."

"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."