We performed a comparison between Collibra Catalog and SSIS based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management."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."
"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."
"We have had no complaints about the stability."
"Collibra Catalog's best feature is the data quality checker."
"The setup was easy. All Microsoft products are easy to set up."
"You can get data from any data source with SSIS and dump it to any outside source. It is helpful. Getting, extracting, converting, and dumping data doesn't require much effort because we can do everything in the user interface. You drag and drop, then give the required input. It's intuitive."
"It is easy to set up the product."
"It is easily scheduled and integrates well with SQL Server and SQL Server Agent jobs."
"It is easy to set up. The deployment is also very quick."
"I have found its most valuable features to be its package management capabilities and the flexibility it offers in designing workflows."
"The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline."
"The most valuable features for our company are the flexibility and the quick turn around time in producing simple ETL solutions."
"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."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"Future releases should improve the data lineage, as it currently is not good."
"Options for scaling could be improved."
"There is connectivity with other databases, however, this is the most significant issue that has to be addressed."
"You have to write push down join & lookup SQL to the database yourself via stored procedures or use of the SQL Task to get very high performance. That said, this is a common complaint for nearly all ETL tools on the market and those that offer an alternative such as Informatica offer them at a very expensive add-on price."
"I would also like to see full integration with our BI because then our full load of data will be available in our organization. They should incorporate an ATL process."
"SSIS can improve in handling different data sources like Salesforce connectivity, Oracle Cloud's connectivity, etc."
"The high prices attached to the product can be an area of concern where improvements are required."
"SSIS should be made a little bit more intuitive and user-friendly because it needs an expert-level person to work on it."
Collibra Catalog is ranked 3rd in Metadata Management with 5 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. Collibra Catalog is rated 7.8, while SSIS is rated 7.6. 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 SSIS writes "Maintaining the solution and contacting its support team is easy". Collibra Catalog is most compared with Informatica Enterprise Data Catalog, Ab Initio Co>Operating System, Talend Data Management Platform, Palantir Foundry and Denodo, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue.
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