Collibra Lineage vs erwin Data Intelligence by Quest comparison

Collibra Lineage vs. erwin Data Intelligence by Quest

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Collibra Lineage

Ranking in Data Governance

16th

Average Rating

7.8

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

erwin Data Intelligence by ...

Ranking in Data Governance

9th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Data Governance category, the mindshare of Collibra Lineage is 3.4%, up from 3.1% compared to the previous year. The mindshare of erwin Data Intelligence by Quest is 2.1%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance

Featured Reviews

Prabhjyot Singh

Data and Analytics Manager at BMO Financial

Faster and more efficient than manual methods or other tools like Informatica

The main differences between Collibra Lineage and Informatica are significant, particularly for small to mid-sized organizations. First, Informatica requires a dedicated team, which incurs a huge cost, making it less suitable for smaller organizations. Second, Informatica's tools are very scattered. For instance, to create a domain, you need to use Axon, and then for lineage, you must use EDC. For profiling, Informatica Developer or Analyst is required. These different tools are not well-connected to display everything on one screen. While Informatica is trying to improve with its cloud version, not many users have adopted it yet. These are the two main areas where Informatica lags.

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Roy Pollack

Advisor Application Architect at CPS Energy

The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.

We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. 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.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

"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."

"The diagrams are good for data visualization."

"The solution has very good online assistance."

"The solution makes data more discoverable and transparent."

"The solution allowed us to quickly and efficiently implement our data governance operating model, including accountabilities, regulatory lineage, and data dictionaries. This was much faster and more efficient than manual methods or other tools like Informatica. I prefer Collibra Lineage for its self-service capabilities."

"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."

"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 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 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."

"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 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."

"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."

"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."

More erwin Data Intelligence by Quest pros

Cons

"Collibra doesn't provide support for integration for SAP Info Steward directly with Collibra."

"The workflow documentation must be improved."

"It would be better if features like the privacy module and AI-based Collibra DQ were included in one package instead of being separate and requiring additional costs. Currently, the basic package covers lineage and documentation, but the extra modules come at an extra cost."

"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 product must be cheaper."

"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."

"We would like this solution to be able to connect directly to the databases, so we can pull directly from Databank without manual intervention."

"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."

"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."

"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 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."

"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."

"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 data quality assessment requires third-party components and a separate license."

More erwin Data Intelligence by Quest cons

Pricing and Cost Advice

"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."

"It's expensive, especially for small companies."

"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."

"The licensing cost was very affordable at the time of purchase. It has since been taken over by erwin, then Quest. The tool has gotten a bit more costly, but they are adding more features very quickly."

"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."

"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."

"The solution is aggressively priced."

"The licensing cost is around $7,000 for user. This is an estimation."

"The price is reasonable, and a subscription is required."

"erwin's pricing was cheaper than its competitors."

More erwin Data Intelligence by Quest pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Insurance Company

11%

Computer Software Company

10%

Government

Computer Software Company

21%

Financial Services Firm

13%

Government

Non Profit

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Collibra Lineage?

The solution makes data more discoverable and transparent.

What is your experience regarding pricing and costs for Collibra Lineage?

The licensing cost depends on our requirements.

What needs improvement with Collibra Lineage?

It would be better if features like the privacy module and AI-based Collibra DQ were included in one package instead of being separate and requiring additional costs. Currently, the basic package c...

What do you like most about erwin Data Intelligence by Quest?

The data mapping manager is the most valuable feature.

What is your experience regarding pricing and costs for erwin Data Intelligence by Quest?

The price is reasonable, and a subscription is required.

What needs improvement with erwin Data Intelligence by Quest?

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 non-struct...

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Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Intelligence by Quest

Compared 9% of the time

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Compared 6% of the time

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Product Reports

Collibra Lineage

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erwin Data Intelligence by Quest

Download erwin Data Intelligence by Quest product report

Also Known As

No data available

erwin DG, erwin Data Governance

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.

Collibra

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.

erwin by Quest

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Collibra Lineage vs. erwin Data Intelligence by Quest