Azure Data Factory vs Collibra Catalog comparison

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

"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."

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

"The overall performance is quite good."

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"The trigger scheduling options are decently robust."

"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."

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

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

"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."

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

"The workflows allow the creation of custom workflows based on needs."

"We have had no complaints about the stability."

"Except for data quality, everything is perfect."

"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."

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

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

"There aren't many third-party extensions or plugins available in the solution."

"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 do not have any notes for improvement."

"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."

"There's space for improvement in the development process of the data pipelines."

"The pricing scheme is very complex and difficult to understand."

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

"If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users."

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

"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."

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

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

"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 licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

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

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"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."

"The price you pay is determined by how much you use it."

"ADF is cheaper compared to AWS."

"This is a cost-effective solution."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"Collibra offers a per-user licensing model."

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

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

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