Collibra Lineage vs erwin Data Intelligence by Quest comparison

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Collibra Logo
3,175 views|2,465 comparisons
83% willing to recommend
erwin by Quest  Logo
4,864 views|1,457 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Collibra Lineage vs. erwin Data Intelligence by Quest Report (Updated: March 2024).
770,292 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We find the most valuable feature of this solution to be the lineage aspect.""The diagrams are good for data visualization.""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 solution makes data more discoverable and transparent.""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."

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"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off.""The solution saves time in data discovery and understanding our entire organization's data.""There is a wide range of widgets that enables the user to find the proper information quickly. The presentation of information is something very valuable.""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.""We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation.""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.""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.""erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."

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Cons
"The workflow documentation must be improved.""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.""The product must be cheaper.""We would like this solution to be able to connect directly to the databases, so we can pull directly from Databank without manual intervention."

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"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 data quality assessment requires third-party components and a separate license.""The fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there.""It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion.""We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server.""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.""The SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do.""One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."

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Pricing and Cost Advice
  • "It's expensive, especially for small companies."
  • "There are different licenses available for Collibra Lineage based on what kind of access you want. If you want, for example, a read-only license they have different ones to pick from."
  • More Collibra Lineage Pricing and Cost Advice →

  • "The licensing cost is around $7,000 for user. This is an estimation."
  • "There is an additional fee for the server maintenance."
  • "The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."
  • "erwin's pricing was cheaper than its competitors."
  • "You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in."
  • "erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
  • "We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."
  • "Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."
  • More erwin Data Intelligence by Quest Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The solution makes data more discoverable and transparent.
    Top Answer:The workflow documentation must be improved. It is our number one pain point.
    Top Answer:The data mapping manager is the most valuable feature.
    Top Answer:The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a… more »
    Ranking
    10th
    out of 57 in Data Governance
    Views
    3,175
    Comparisons
    2,465
    Reviews
    4
    Average Words per Review
    327
    Rating
    7.8
    4th
    out of 57 in Data Governance
    Views
    4,864
    Comparisons
    1,457
    Reviews
    11
    Average Words per Review
    1,311
    Rating
    8.4
    Comparisons
    Also Known As
    erwin DG, erwin Data Governance
    Learn More
    Overview

    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.

    Sample Customers
    AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
    Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company9%
    Insurance Company8%
    Government7%
    REVIEWERS
    Insurance Company28%
    Pharma/Biotech Company22%
    Computer Software Company22%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company14%
    Financial Services Firm13%
    Government10%
    Insurance Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business5%
    Midsize Enterprise21%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise12%
    Large Enterprise63%
    Buyer's Guide
    Collibra Lineage vs. erwin Data Intelligence by Quest
    March 2024
    Find out what your peers are saying about Collibra Lineage vs. erwin Data Intelligence by Quest and other solutions. Updated: March 2024.
    770,292 professionals have used our research since 2012.

    Collibra Lineage is ranked 10th in Data Governance with 6 reviews while erwin Data Intelligence by Quest is ranked 4th in Data Governance with 18 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 "Enabled us to centralize a tremendous amount of data into a common standard, and uniform reporting has decreased report requests". Collibra Lineage is most compared with Microsoft Purview Data Governance, MANTA Flow, Alation Data Catalog, OneTrust DataGovernance and Protegrity Data Security, whereas erwin Data Intelligence by Quest is most compared with Microsoft Purview Data Governance, Collibra Governance, Alation Data Catalog, Informatica Axon and AtScale Adaptive Analytics (A3). See our Collibra Lineage vs. erwin Data Intelligence by Quest report.

    See our list of best Data Governance vendors.

    We monitor all Data Governance 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.