We performed a comparison between Collibra Catalog and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management."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."
"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."
"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."
"We have had no complaints about the stability."
"Collibra Catalog's best feature is the data quality checker."
"The most valuable feature is real-time streaming."
"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"The product is very user-friendly."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"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."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
Collibra Catalog is ranked 3rd in Metadata Management with 5 reviews while Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews. Collibra Catalog is rated 7.8, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Collibra Catalog writes "A user-friendly for those who are not technically inclined and useful for cataloging various reports". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Collibra Catalog is most compared with Informatica Enterprise Data Catalog, Ab Initio Co>Operating System, Talend Data Management Platform, Palantir Foundry and Denodo, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.
We monitor all Metadata Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
