Collibra Lineage vs IBM Data Governance comparison

Cancel
You must select at least 2 products to compare!
Collibra Logo
3,175 views|2,465 comparisons
83% willing to recommend
IBM Logo
1,028 views|549 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Collibra Lineage and IBM Data Governance based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance.
To learn more, read our detailed Data Governance Report (Updated: April 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
"The diagrams are good for data visualization.""The solution has very good online assistance.""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.""We find the most valuable feature of this solution to be the lineage aspect.""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."

More Collibra Lineage Pros →

"IBM Data Governance improved data analytics operations. During a company merger, we used IBM Data Governance to understand and bridge sample data between systems."

More IBM Data Governance Pros →

Cons
"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.""Collibra doesn't provide support for integration for SAP Info Steward directly with Collibra.""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 workflow documentation must be improved.""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."

More Collibra Lineage Cons →

"One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial."

More IBM Data Governance Cons →

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 →

    Information Not Available
    report
    Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
    770,292 professionals have used our research since 2012.
    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:Hello Yegane, I recommend add Precisely Data360 Govern (Infogix Data360 Govern)
    Top Answer:IBM Data Governance improved data analytics operations. During a company merger, we used IBM Data Governance to understand and bridge sample data between systems.
    Top Answer:I would rate pricing an eight out of ten, where one is cheap and ten is expensive. It's pretty expensive.
    Ranking
    10th
    out of 57 in Data Governance
    Views
    3,175
    Comparisons
    2,465
    Reviews
    4
    Average Words per Review
    327
    Rating
    7.8
    18th
    out of 57 in Data Governance
    Views
    1,028
    Comparisons
    549
    Reviews
    1
    Average Words per Review
    559
    Rating
    8.0
    Comparisons
    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.

    IBM Data Governance is a comprehensive solution designed to help organizations effectively manage and govern their data assets. Its primary use case is to establish and enforce data policies, standards, and rules across the enterprise.

    The most valuable functionality of IBM Data Governance includes data classification, data lineage, and data quality management. Data classification enables organizations to categorize and label data based on sensitivity, ensuring compliance with regulations like GDPR. Data lineage provides a clear understanding of the origin and movement of data, facilitating data governance and decision-making. Data quality management ensures data accuracy, completeness, and consistency, enhancing overall data reliability.

    IBM Data Governance helps organizations in several ways. Firstly, it improves data visibility and control, enabling organizations to understand their data landscape and make informed decisions. Secondly, it enhances data security and privacy by enforcing policies and standards, reducing the risk of data breaches. Thirdly, it promotes collaboration and accountability among data stakeholders, fostering a culture of data governance. Lastly, it enables organizations to optimize data usage and value, leading to improved operational efficiency and better business outcomes.

    Sample Customers
    AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
    TIAA CREF, Control Risks Group
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company9%
    Insurance Company8%
    Government7%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Insurance Company8%
    Manufacturing Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise11%
    Large Enterprise63%
    Buyer's Guide
    Data Governance
    April 2024
    Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: April 2024.
    770,292 professionals have used our research since 2012.

    Collibra Lineage is ranked 10th in Data Governance with 6 reviews while IBM Data Governance is ranked 18th in Data Governance with 1 review. Collibra Lineage is rated 7.6, while IBM Data Governance is rated 8.0. 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 IBM Data Governance writes "Provides a single interface to monitor and navigate data quality metrics". Collibra Lineage is most compared with Microsoft Purview Data Governance, MANTA Flow, Alation Data Catalog, erwin Data Intelligence by Quest and OneTrust DataGovernance, whereas IBM Data Governance is most compared with Microsoft Purview Data Governance, Collibra Governance and Informatica Axon.

    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.