We performed a comparison between Collibra Lineage and erwin Data Intelligence by Quest based on real PeerSpot user reviews.Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"The solution has very good online assistance."
"It shows how the data was transformed on the way and how the solutions were derived. This is the essence of the tool and why it is so powerful."
"The most valuable features of Collibra Lineage are the multiple options for automation. Additionally, if you have a scenario where automation does not work, you have the option to manually create the lineage. The solution does not force you to always go through an automated way where you have broken lineage and you are stuck without a lineage."
"Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."
"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."
"It is a central place for everybody to start any ETL data pipeline builds. This tool is being heavily used, plus it's heavily integrated with all the ETL data pipeline design and build processes. Nobody can bypass these processes and do something without going through this tool."
"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."
"Collibra doesn't provide support for integration for SAP Info Steward directly with Collibra."
"Collibra Lineage could improve connectively. If they can offer more out-of-the-box connectors, which come as in a package compared to you having to go and buy a lot in the marketplace for certain specific connectors."
"Before you can use this solution, you have to make a lot of changes to how you measure your information in your organization, the data governance and policies, and the organizational structures that use them. Many companies believe that if they purchase the licenses for the tool that they have done the job, but this is far from the case with this tool."
"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."
"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering."
Data lineage reveals how data transforms through its life cycle across interactions with systems, applications, APIs and reports. Collibra Lineage automatically maps relationships between data to show how data sets are built, aggregated, sourced and used.
The erwin Data Intelligence Suite (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog. Then make it accessible and understandable within context via role-based views. This complete metadata-driven approach to data governance facilitates greater IT and business collaboration.
Collibra Lineage is ranked 8th in Data Governance with 3 reviews while erwin Data Intelligence by Quest is ranked 5th in Data Governance with 4 reviews. Collibra Lineage is rated 7.6, while erwin Data Intelligence by Quest is rated 8.6. The top reviewer of Collibra Lineage writes "User-friendly with good metadata management but needs more time to mature". On the other hand, the top reviewer of erwin Data Intelligence by Quest writes "Gives a visual representation of how the data flows from tables to the metrics and has a big impact in terms of the transparency and understanding of data". Collibra Lineage is most compared with Microsoft Purview, MANTA Flow, SAP Data Hub, Alation Data Catalog and OneTrust DataGovernance, whereas erwin Data Intelligence by Quest is most compared with Microsoft Purview, Alation Data Catalog, Collibra Governance, Informatica Axon and SAP Data Hub. See our Collibra Lineage vs. erwin Data Intelligence by Quest report.
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