Collibra Governance vs erwin Data Intelligence by Quest comparison

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Collibra Logo
14,176 views|6,436 comparisons
95% willing to recommend
erwin by Quest  Logo
4,864 views|1,458 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).
772,127 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
"Collibra Governance's most valuable features are data lineage and stewardships.""I like the lineage feature the most because I don't think there's any other tool that actually depicts the data flow from multiple sources and the connectivities between every data element inside those sources.""The automation process is very strong.""The most valuable features of Collibra are the workflows and the data lineage capabilities.""The solution's technical support is helpful and responsive.""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.""Collibra is very good at talking to modern database systems like a normal RDBMS, a DB2, or a SQL server or an Oracle.""It's not a complicated product."

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"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 solution saves time in data discovery and understanding our entire organization's data.""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.""The data mapping manager is the most valuable feature.""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.""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.""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.""The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."

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Cons
"If someone changes the metadata, we can't see who changed it.""Occasionally we get little bugs that occur, however, this is typical.""Certain implementations, including lineage maps, could be user-friendly.""What I use it for is fairly rudimentary, and I don't have any complaints about it. I haven't tried to stretch the boundaries at all, but it would be nice if there were capabilities built within the system to somehow help enforce the quality and consistency across related elements that are built in the catalog. It could have intelligent capabilities built in to help maintain the quality of the data and information, such as natural language processing, machine learning, and so on.""I would like to see a feature using the runtime dashboard.""We would like to have out-of-the-box automation.""Data discovery needs to be improved.""Sometimes, if a client needs a specific customization, we cannot do it directly. The client needs to reach out to Collibra and request the customization."

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"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic.""The data quality assessment requires third-party components and a separate license.""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.""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.""The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one.""The technical support could be improved.""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.""There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."

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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 58 in Data Governance
    Views
    14,176
    Comparisons
    6,436
    Reviews
    21
    Average Words per Review
    481
    Rating
    7.6
    4th
    out of 58 in Data Governance
    Views
    4,864
    Comparisons
    1,458
    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 Business25%
    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.
    772,127 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.