Try our new research platform with insights from 80,000+ expert users

Collibra Lineage vs erwin Data Intelligence by Quest comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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
15th
Average Rating
7.8
Reviews Sentiment
7.3
Number of Reviews
7
Ranking in other categories
No ranking in other categories
erwin Data Intelligence by ...
Ranking in Data Governance
6th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Data Governance category, the mindshare of Collibra Lineage is 3.2%, down from 5.2% compared to the previous year. The mindshare of erwin Data Intelligence by Quest is 2.6%, down from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Prabhjyot Singh - PeerSpot reviewer
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.
Roy Pollack - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"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 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 diagrams are good for data visualization."
"The solution makes data more discoverable and transparent."
"The solution has very good online assistance."
"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."
"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."
"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."
"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."
"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."
"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."
"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."
"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 solution saves time in data discovery and understanding our entire organization's data."
 

Cons

"The product must be cheaper."
"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."
"Collibra doesn't provide support for integration for SAP Info Steward directly with Collibra."
"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."
"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."
"The workflow documentation must be improved."
"We would like this solution to be able to connect directly to the databases, so we can pull directly from Databank without manual intervention."
"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 solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"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 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 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."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"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 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."
 

Pricing and Cost Advice

"It's expensive, especially for small companies."
"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."
"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."
"The price is too high."
"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."
"There is an additional fee for the server maintenance."
"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."
"The solution is aggressively priced."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
report
Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
831,265 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
22%
Insurance Company
11%
Computer Software Company
8%
Manufacturing Company
7%
Computer Software Company
21%
Financial Services Firm
12%
Government
9%
Insurance Company
7%
 

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 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 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...
 

Also Known As

No data available
erwin DG, erwin Data Governance
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about Collibra Lineage vs. erwin Data Intelligence by Quest and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.