Collibra Governance vs erwin Data Intelligence by Quest comparison

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Executive Summary

We performed a comparison between Collibra Governance 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 Governance vs. erwin Data Intelligence by Quest Report (Updated: March 2024).
765,234 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 most important feature in Collibra Governance is the ability to gather data or a collection of data into one repository. If a client creates a repository at his place, then it will get updated to the cloud automatically.""The most valuable features of Collibra are the workflows and the data lineage capabilities.""Collibra's lineage is a very powerful feature. We have integrated Collibra with Azure and ADLS storage and we create lineage diagrams using the two tools.""I like Collibra's flexibility. I like to be able to modify things for our own use. For example, we've chosen to use Collibra also as a knowledge management tool, even though it is not designed to be a knowledge management tool. That's the beauty of it. It can serve as a knowledge management tool by creating some custom assets specifically for knowledge management.""The diagram showing the limits is absolutely magnificent.""I find the metadata feature valuable because it replaces the coding.""The solution's most valuable features are its scalability and how it can be integrated to any other intakes.""In terms of data governance, as I mentioned, it can be a one-stop solution for all of your data governance needs."

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"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.""Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature.""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.""The interface is easy to use. I also like Erwin's automatic data classification and data quality checks.""The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company.""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.""The data mapping manager is the most valuable feature.""Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."

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Cons
"The connectors are not very sophisticated. They can do, for example, Informatica and Tableau, but the connectors themselves could be improved.""There are certain processes that involve a lot of manual work, specifically when searching for attributes assignment. It would be better if we could do this via APIs.""Every time you change or publish a new questionnaire for certification, you have to basically go into the code and update the new version of the questionnaire.""Where it isn't great is on older technologies that you'll typically find in finance or insurance industries, such as older types of data with VSAM or ISAM, or those types of older technologies. It just doesn't connect with them very easily.""I'm fairly new to the product, however, what I generally hear from my clients is that the requirement around having ways to ingest more metadata.""Occasionally we get little bugs that occur, however, this is typical.""I would like to see a feature using the runtime dashboard.""No easy way to connect to different data sources."

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"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 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.""The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic.""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.""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.""The data quality assessment requires third-party components and a separate license.""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.""The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."

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Pricing and Cost Advice
  • "I am not so much aware of price details. Initially, there was an add-on NuSoft license to use the DVC connector that NuSoft gives to create integrations, but Collibra is now phasing out of it slowly. Collibra is cutting ties with them is what we have been led to believe, and we have started developing on Spring Boot, which is open source."
  • "I think it is on a yearly basis, but I'm not involved with the pricing session, so I have no idea. There are several licenses for different models. You get one license per product, but a lot of features are controlled separately through different licenses. So, as and when you want to use a feature, you have to procure the license for that feature."
  • "I think they have a trust issue. I did not like the way they recently went through the process. They were like, "Finish this SOW first, only then will we sign the other SOW." Or, "Finish this code." I didn't like that much."
  • "I would say it's probably in line with what other vendors charge for licensing."
  • "It is substantial, and we do pay yearly."
  • "There are different levels of licenses. For example, some users can only do read-only licenses, and others have the stewardship license where they can give access to users."
  • "Collibra Governance is expensive - I would rate its pricing as one out of five."
  • "Collibra provides you with a license based on the subscription model that you purchase."
  • More Collibra Governance 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:We use the solution's Data Stewardship part.
    Top Answer:We are not able to ingest all the data in Collibra, and that's why we cannot do element-to-element level data tracking.
    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
    2nd
    out of 57 in Data Governance
    Views
    14,838
    Comparisons
    6,765
    Reviews
    20
    Average Words per Review
    487
    Rating
    7.6
    3rd
    out of 57 in Data Governance
    Views
    5,066
    Comparisons
    1,581
    Reviews
    11
    Average Words per Review
    1,311
    Rating
    8.4
    Comparisons
    Also Known As
    Collibra
    erwin DG, erwin Data Governance
    Learn More
    Overview

    Collibra Governance is a software solution for data governance, which refers to the set of policies, standards, and processes that govern how an organization manages, uses, and protects its data. Collibra Governance provides a centralized platform for managing data governance, enabling organizations to ensure data accuracy, completeness, and security.

    The software includes tools for managing data lineage, data dictionaries, and metadata, as well as for monitoring data quality and compliance with data governance policies. It also provides a collaboration platform for stakeholders to work together on data governance initiatives, ensuring that data governance is integrated into the organization's data management processes.

    Collibra Governance is designed for organizations of all sizes, from small businesses to large enterprises, and can be used across a variety of industries and use cases. It is a cloud-based solution that can be easily implemented and integrated into an organization's existing data management infrastructure.

    Collibra Governance Features

    Collibra Governance has many valuable key features. Some of the most useful ones include:

    • Data governance management: The solution has a centralized platform for managing data governance policies, standards, and processes.
    • Data lineage: Collibra Governance includes traceability of data from source to consumption, providing insight into data relationships and dependencies.
    • Data dictionaries and metadata management: With its management of data definitions and metadata, organizations can understand and manage their data assets more efficiently.
    • Data quality management: The solution’s monitoring of data quality and consistency, enables organizations to ensure data accuracy and completeness.
    • Compliance management: Through its tracking of data governance compliance and enforcement of policies, Collibra Governance helps organizations reduce the risk of non-compliance.
    • Collaboration and communication: The Collibra Governance platform encourages collaboration between stakeholders involved in data governance initiatives.
    • Data catalog: Collibra Governance has a centralized repository for data assets, making it easier for users to discover and access data.
    • Integration: The solution supports integration with other data management tools, such as data warehouses, big data platforms, and data quality tools.
    • Analytics and reporting: Collibra Governance includes analysis and reporting of data governance metrics and KPIs, allowing organizations to monitor and improve their data governance processes.

    Collibra Governance Benefits

    There are many benefits to implementing Collibra Governance. Some of the biggest advantages the solution offers include:

    • Improved data accuracy and quality: The solution’s centralized management of data governance processes helps reduce the risk of data errors and improves data quality.
    • Increased data security: With Collibra Governance, users are more protected from data breaches.
    • Better decision making: Improved visibility into data relationships and dependencies, enables organizations to make informed decisions based on accurate and complete data.
    • Collaboration: The solution helps encourage teamwork and better communication.
    • Improved data management: Collibra Governance offers centralized management of data assets, making it easier for organizations to manage and understand their data.
    • Increased efficiency: Collibra Governance’s automation of data governance processes, reduces manual effort and increases efficiency.
    • Improved reporting and analytics: Analysis and reporting of data governance metrics and KPIs enables organizations to monitor and improve their data governance processes.

    Reviews from Real Users

    Collibra Governance is a solution that stands out when compared to many of its competitors. Some of its major advantages are that it has good data lineage, is easy to use, and has good customization capabilities in addition to many other great features.

    A Sr. Systems Analyst, Master Data Governance at a manufacturing company expresses, “[The solution has] good data lineage and is surrounded by a helpful community.”

    “[It’s] easy to use with good customization capabilities and great features,” says a Senior Consulting Analyst at a construction company.

    According to Kriti T., Senior Manager, Service Design Manager at a pharma/biotech company, “The solution lets me associate the right people with the right assets, so anybody who has to look at end-to-end instances can use Collibra Governance and figure it out in terms of who to contact, what to do, and where to find what you need.”

    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
    Ministry of Economy Science and Innovation, Aspen Insurance, Barry Callebaut, Colt
    Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
    Top Industries
    REVIEWERS
    Financial Services Firm30%
    Pharma/Biotech Company15%
    Insurance Company10%
    Healthcare Company10%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company12%
    Manufacturing Company7%
    Healthcare Company6%
    REVIEWERS
    Insurance Company28%
    Pharma/Biotech Company22%
    Computer Software Company22%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm12%
    Government11%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    REVIEWERS
    Small Business5%
    Midsize Enterprise21%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise12%
    Large Enterprise64%
    Buyer's Guide
    Collibra Governance vs. erwin Data Intelligence by Quest
    March 2024
    Find out what your peers are saying about Collibra Governance vs. erwin Data Intelligence by Quest and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Collibra Governance is ranked 2nd in Data Governance with 41 reviews while erwin Data Intelligence by Quest is ranked 3rd in Data Governance with 18 reviews. Collibra Governance is rated 7.6, while erwin Data Intelligence by Quest is rated 8.4. The top reviewer of Collibra Governance writes "Transformed our cross-functional business teams into one enterprise-facing view". 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 Governance is most compared with Microsoft Purview, Alation Data Catalog, Informatica Axon, BigID and ASG Enterprise Data Intelligence, whereas erwin Data Intelligence by Quest is most compared with Microsoft Purview, Alation Data Catalog, Informatica Axon, Collibra Lineage and Microsoft Purview Compliance Manager. See our Collibra Governance 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.