Collibra Governance vs erwin Data Intelligence by Quest comparison

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Collibra Logo
13,722 views|6,154 comparisons
95% willing to recommend
erwin by Quest  Logo
4,819 views|1,415 comparisons
100% willing to recommend
Comparison Buyer's Guide
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: May 2024).
772,679 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 automation process is very strong.""The most valuable feature is the discovery process for the data catalog because we get it in a visual format as a way to understand and classify it.""It is user-friendly.""The solution's technical support is helpful and responsive.""I find the metadata feature valuable because it replaces the coding.""The customization and the dashboards are pretty good.""Collibra Governance is a stable solution.""From the perspective of a data user, the solution has a great search capability."

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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.""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.""The solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple.""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.""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.""The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good.""The data mapping manager is the most valuable feature.""We always know where our data is, and anybody can look that up, whether they're a business person who doesn't know anything about Informatica, or a developer who knows everything about creating data movement jobs in Informatica, but who does not understand the business terminology or the data that is being used in the tool."

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Cons
"We are not able to ingest all the data in Collibra, and that's why we cannot do element-to-element level data tracking.""I would like to see a feature using the runtime dashboard.""One problem is the data lineage, especially extracting the ETL transformation from different ETL tools and identifying how the data is getting changed from one layer to different layers and how the transformation is applied. It doesn't support all the ETL tools for extracting the transformation logic. It supports some of the tools, but there are still some tools that need to be supported. There is also a small pain point in terms of integration. There is a little bit of change in their strategy from Collibra's end. Earlier, they used to offer two solutions. One was out of the box, and one was a custom-built solution for which they used to provide a dual connector. Now the focus from the Collibra side is more on using the out of the box connector. They are discouraging doing the custom integration. That leaves us with two problems. The first problem is that the out-of-the-box connecter is not yet enabled for a lot of systems, and the second problem is that the out-of-the-box connecter has certain limitations. If we want to tweak those as per our needs, it is not possible. However, the custom-built is still supported, and you can still build a custom integration by using the API, but it is not very encouraged by Collibra. Its dashboard also needs to be improved. There are options to use the HTML code to customize your dashboard, but it has a lot of limitations.""Collibra gives a lot of facilities in the cloud, but achieving those facilities on-prem becomes a big challenge""Recently, I find that the default process of issue management in Collibra is really complex — It wasn't really helpful to us.""There's still room for improvement in Collibra Governance. Right now, the solution focuses more on publishing and subscription where metadata is being consumed from all systems and processes within Collibra Governance. I'd like to see more features around external systems that let those systems start consuming or start referring things from Collibra Governance automatically, in particular, more API-based integrations, so the solution can truly work as an enterprise governance tool at the heart of the organization. There have been many cases where business stakeholders feel, "Okay. I'll be doing a manual activity because every time I have to maintain and make sure that the solution is working, for example, ensuring the reporting works, I have to go to Collibra Governance." I want this step taken out of the equation, and it has to be an automatic conversion or automatic notification that something has changed. Scalability also needs improvement in the solution. If there could be some sort of self-service where people can customize the solution a bit more, that would make Collibra Governance better. What I'd like to see in the next release of the solution is an enhanced search feature because it's what users want to use. You want to search for a term and get all details in one go. Right now, if you type a term in the Collibra Governance global search function, it returns a lot of results that you need to know how to filter and what to filter, so there should be automatic filters that give accurate information to somebody who does a search on the solution. I want Collibra Governance to provide a capability where you can search and get relevant information.""The connectors are not very sophisticated. They can do, for example, Informatica and Tableau, but the connectors themselves could be improved.""The solution's metadata management is pretty novice and could be improved."

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"The technical support could be improved.""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.""If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement.""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.""There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in.""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.""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."

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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."
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  • "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 56 in Data Governance
    Views
    13,722
    Comparisons
    6,154
    Reviews
    20
    Average Words per Review
    481
    Rating
    7.6
    4th
    out of 56 in Data Governance
    Views
    4,819
    Comparisons
    1,415
    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 Firm29%
    Pharma/Biotech Company14%
    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 Firm13%
    Government10%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business23%
    Midsize Enterprise11%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    REVIEWERS
    Small Business5%
    Midsize Enterprise21%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise12%
    Large Enterprise63%
    Buyer's Guide
    Collibra Governance vs. erwin Data Intelligence by Quest
    May 2024
    Find out what your peers are saying about Collibra Governance vs. erwin Data Intelligence by Quest and other solutions. Updated: May 2024.
    772,679 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 4th in Data Governance with 18 reviews. Collibra Governance is rated 7.6, while erwin Data Intelligence by Quest is rated 8.6. 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 Data Governance, Informatica Axon, Alation Data Catalog, BigID and ASG Enterprise Data Intelligence, whereas erwin Data Intelligence by Quest is most compared with Microsoft Purview Data Governance, Alation Data Catalog, Informatica Axon, Collibra Lineage and AtScale Adaptive Analytics (A3). 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.