Information Builders Data Governance vs erwin Data Intelligence by Quest comparison

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Executive Summary

We performed a comparison between erwin Data Intelligence by Quest and Information Builders Data Governance based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Collibra, erwin by Quest and others in Data Governance.
To learn more, read our detailed Data Governance Report (Updated: March 2024).
765,386 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 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.""The interface is easy to use. I also like Erwin's automatic data classification and data quality checks.""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.""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.""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 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.""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.""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."

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"It has an intuitive data quality engine that allows you to modify data, and apply rules to standardize it, and it's an excellent initial stage."

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Cons
"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 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.""Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things.""The technical support could be improved.""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.""Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier.""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.""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."

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"The on-premise features are undeniably robust, but having equally powerful capabilities in the cloud would be a significant enhancement."

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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."
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    Questions from the Community
    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 »
    Top Answer:It has an intuitive data quality engine that allows you to modify data, and apply rules to standardize it, and it's an excellent initial stage.
    Top Answer:The on-premise features are undeniably robust, but having equally powerful capabilities in the cloud would be a significant enhancement.
    Top Answer:Our clients often have the need to safeguard sensitive personal information, including customer data and credit card details. They also seek to establish clear governance policies regarding the usage… more »
    Ranking
    3rd
    out of 57 in Data Governance
    Views
    5,066
    Comparisons
    1,581
    Reviews
    11
    Average Words per Review
    1,311
    Rating
    8.4
    27th
    out of 57 in Data Governance
    Views
    47
    Comparisons
    31
    Reviews
    1
    Average Words per Review
    616
    Rating
    7.0
    Comparisons
    Also Known As
    erwin DG, erwin Data Governance
    Learn More
    Overview

    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.

    When a growing number of users interact with and visualize an increasing volume of data, solid governance practices can ensure that every stakeholder can get the insights they need, while the timeliness, integrity, availability, and security of data sources is fully preserved.

    Omni-Gen delivers multi-domain enterprise data governance for business users through the Omni Governance Console. A domain is a data construct containing all the values that are relevant to that data type. Multi-domain data means more than one type of business entity is being governed. Built-in authorization for each domain ensures that each user has the capabilities that are right for their role and the software being licensed. Users can configure customizable workflows to provide automatic alerts when data quality problems require intervention.

    Sample Customers
    Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
    Information Not Available
    Top Industries
    REVIEWERS
    Insurance Company28%
    Pharma/Biotech Company22%
    Computer Software Company22%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm12%
    Government11%
    Insurance Company8%
    No Data Available
    Company Size
    REVIEWERS
    Small Business5%
    Midsize Enterprise21%
    Large Enterprise74%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise12%
    Large Enterprise64%
    No Data Available
    Buyer's Guide
    Data Governance
    March 2024
    Find out what your peers are saying about Microsoft, Collibra, erwin by Quest and others in Data Governance. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    erwin Data Intelligence by Quest is ranked 3rd in Data Governance with 18 reviews while Information Builders Data Governance is ranked 27th in Data Governance with 1 review. erwin Data Intelligence by Quest is rated 8.4, while Information Builders Data Governance is rated 7.0. 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". On the other hand, the top reviewer of Information Builders Data Governance writes "Balancing robust scalability with cloud features enhancements for streamlined operation". erwin Data Intelligence by Quest is most compared with Microsoft Purview, Collibra Governance, Alation Data Catalog, Informatica Axon and Collibra Lineage, whereas Information Builders Data Governance is most compared with .

    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.