Azure Data Factory vs DBamp comparison

"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."

"The feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."

"I like that it's a monolithic data platform. This is why we propose these solutions."

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

"The most valuable feature I have found at Azure Data Factory is the data flow function."

"Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty 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."

"DBM allows integration with SQL Server, which is beneficial for Microsoft."

"Their support is good, very responsive despite being overseas."

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"The speed and performance need to be improved."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"I have encountered a problem with the integration with third-party solutions, particularly with SAP."

"Real-time replication is required, and this is not a simple task."

"Azure Data Factory uses many resources and has issues with parallel workflows."

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

"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

"DBM is a bit more complicated when compared to DataLoader, especially for more complex operations."

"DBM is a bit more complicated when compared to DataLoader, especially for more complex operations."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

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

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

"The licensing cost is included in the Synapse."

"This is a cost-effective solution."

"The pricing model is based on usage and is not cheap."