Azure Data Factory vs Collibra Catalog comparison

"The most valuable aspect is the copy capability."

"The solution is okay."

"I am one hundred percent happy with the stability."

"From what we have seen so far, the solution seems very stable."

"It is easy to deploy workflows and schedule jobs."

"Data Factory's most valuable feature is Copy Activity."

"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."

"Powerful but easy-to-use and intuitive."

"Gartner identifies Collibra Catalog as the leader, which aligns with our observations."

"We have had no complaints about the stability."

"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."

"Except for data quality, everything is perfect."

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

"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."

"The most valuable features of Collibra Catalog are its customizability and ease of use."

"Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation."

"Some of the optimization techniques are not scalable."

"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

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

"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."

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

"The user interface could use improvement. It's not a major issue but it's something that can be improved."

"One of the very key drawbacks is that automation for access provisioning is not available. If I discover a data set or data product in the marketplace and want to access the data, this feature doesn't exist at all."

"If the price is a bit reduced, that would be better."

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

"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."

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

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

"In Collibra Catalog, the main area that has room for improvement is the search functionality. It should be more natural language oriented instead of searching for exact names."

"There is an issue with Collibra Catalog's pricing model, especially for organizations with many databases, as the initial package comes with a limited number of connectors."

"I would not say that this product is overly expensive."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

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

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

"Data Factory is affordable."

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

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"It's not particularly 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."