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Segment vs erwin Data Intelligence comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 19, 2025

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

erwin Data Intelligence
Ranking in Data Governance
28th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
AI Governance (17th)
Segment
Ranking in Data Governance
27th
Average Rating
8.6
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
Web Analytics (7th), Customer Data Platforms (CDP) (1st)
 

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of erwin Data Intelligence is 1.8%, down from 2.5% compared to the previous year. The mindshare of Segment is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Segment0.2%
erwin Data Intelligence1.8%
Other98.0%
Data Governance
 

Featured Reviews

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.
VikasAgarwal - PeerSpot reviewer
Simplify data management and analysis and offers built-in integrations for many data sources and destinations, reducing effort required for custom integrations
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work well if they fit your needs, but if you need something custom, you can't rely on the SDKs and have to use recipes. And using those recipes extensively isn't ideal. For example, we were getting leads from the D2C application, sending them to Segment, and then from Segment to HubSpot. If Segment could mimic HubSpot's API, we could leverage HubSpot's SDK capabilities even through Segment. But Segment's API is generic, so it doesn't do anything tailored to HubSpot. As a product designer, I know that would be hard to accomplish anyway. It's not a criticism, because I would probably design it the same way. But as a consumer, I don't care how it's designed; I care if it fits my use case. If not, how much effort will it take to make it work? That was the challenging part. It took a lot of time to integrate Segment and make it communicate with HubSpot in a certain way. So, the challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations. From my experience, it's mostly fine. It could benefit from more customization capabilities. The product itself is good, but it would be awesome if it allowed you to write your own extensions to augment the CDP's capabilities. And another suggestion. It's not about a missing feature, but rather something Segment is doing that I personally don't think a CDP should do. It's like a mobile phone you use for watching videos, listening to music, and making calls. But to be a good mobile phone, you need to be the best at making and receiving calls, and texting. Everything else is a distraction. Instead of optimizing for those distractions, you should solidify the basics. To illustrate this, Segment has many capabilities that overlap with things like CRMs, campaign management systems, tracking systems, and so on. These capabilities can give a small startup a real kick-start, but as you scale, the capabilities other than the core CDP features don't scale as well. For example, it does campaign management, but it's not really a full-fledged campaign management system. When you're starting out, it's fine, it's great, it fits almost all your use cases. But as you grow from a two-person organization to a 300-person organization, you'll have to deal with more complexity. You'll likely need to look for a dedicated campaign management system and integrate it with Segment. Now, if you've been using Segment's campaign management for a long time, moving that part to a different system will be a roadblock.

Quotes from Members

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

Pros

"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."
"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."
"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."
"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."
"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."
"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."
"I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort required for integrations is relatively low."
 

Cons

"The technical support could be improved."
"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."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"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."
"The data quality assessment requires third-party components and a separate license."
"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."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."
"The challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."
 

Pricing and Cost Advice

"The solution is aggressively priced."
"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."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"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."
"erwin's pricing was cheaper than its competitors."
"erwin was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"There is an additional fee for the server maintenance."
"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 pricing was on the higher side but it wasn't excessively high."
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Top Industries

By visitors reading reviews
Computer Software Company
26%
Financial Services Firm
11%
Government
7%
Insurance Company
6%
Computer Software Company
13%
Financial Services Firm
9%
University
8%
Energy/Utilities Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise4
Large Enterprise14
No data available
 

Questions from the Community

Ask a question
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What do you like most about Segment?
I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort requ...
What is your experience regarding pricing and costs for Segment?
The pricing was on the higher side but it wasn't excessively high. It's definitely not tailored for the smallest businesses, but it's well-suited for setups that anticipate significant growth.
What needs improvement with Segment?
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work we...
 

Also Known As

erwin DG, erwin Data Governance
Segment.io
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Nokia, rdio, Bonobos, LiveNation, Atlassian
Find out what your peers are saying about Segment vs. erwin Data Intelligence and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.