Azure Data Factory vs Collibra Catalog comparison

"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."

"The solution has a good interface and the integration with GitHub is very useful."

"In terms of my personal experience, it works fine."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft."

"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."

"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."

"The overall performance is quite good."

"Collibra Catalog is simple to use and user-friendly for those who are not technically inclined since it is easy to find while also easy to see data lineage diagrams."

"Collibra Catalog's best feature is the data quality checker."

"We have had no complaints about the stability."

"Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."

"The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives."

"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."

"I have not found any real shortcomings within the product."

"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."

"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

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

"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."

"The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring."

"Collibra Catalog could improve its automation to increase the efficiency of the software."

"I'd like to see more integration with other reporting sources."

"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."

"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."

"Data Factory is affordable."

"The solution's pricing is competitive."

"Pricing appears to be reasonable in my opinion."

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

"The licensing cost is included in the Synapse."

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

"The cost is based on the amount of data sets that we are ingesting."

"Data Factory is expensive."

"Collibra offers a per-user licensing model."

"I think they can bring a few more features and align better with other quality products."

"The product is highly priced compared to other vendors."

"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."