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Atlan vs Segment 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

Atlan
Ranking in Data Governance
12th
Average Rating
8.2
Reviews Sentiment
5.8
Number of Reviews
8
Ranking in other categories
Metadata Management (5th)
Segment
Ranking in Data Governance
27th
Average Rating
8.6
Reviews Sentiment
8.5
Number of Reviews
2
Ranking in other categories
Web Analytics (6th), Customer Data Platforms (CDP) (1st)
 

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of Atlan is 2.1%, up from 1.7% compared to the previous year. The mindshare of Segment is 0.5%, 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 (%)
Atlan2.1%
Segment0.5%
Other97.4%
Data Governance
 

Featured Reviews

Peter Neumann - PeerSpot reviewer
IT consultant at Pathfinder
Has struggled to meet business needs but supports technical data exploration and transparency
Atlan can be improved by concentrating more on business data since it is developed from developers for developers, and it needs to be more business relevant. For instance, when re-importing data model diagrams, Atlan provides some diagram automation that is not connected to the business glossary, which I consider a significant fault. Atlan needs to improve by focusing more on the business side of data, not only on technical aspects.If you want to focus on technical considerations, it would be beneficial to have an interface with a real business data modeling tool such as Erwin or other business data tools, since data modeling is not the same as Draw.io. Additionally, Atlan can improve its workflows, which are hard to understand. Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team. If business people want to use it and run their own reports, it must be easier to customize for their business needs.
VikasAgarwal - PeerSpot reviewer
Founder & CTO at Naks Digital Consulting
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

"Atlan has positively impacted the organization since it helps in discovering already available assets, allowing for reduction of redundant ingestion of external data and reduction of time to market for any project."
"Atlas is quite intuitive."
"They also offer automated lineage embedded in the connectors, allowing us to track where the data is coming from and where it's going. We find it very efficient in cataloging data sources. Additionally, the user-friendly interface is a big plus, making it easy for users to familiarize themselves with the solution. These two features, in my opinion, stand out the most."
"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."
"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."
"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."
"The interfaces and automated imports have helped me with transparency, as we have different sources from different techniques such as DBT, Snowflake, and other regular databases, making it effective to connect these sources and navigate through them, filter them, and enrich the data with additional meter information."
"Overall, I rate Atlan a nine out of ten."
"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

"One area that could be improved is the capability to find duplicates of datasets."
"Certain UI changes could make Atlan more user-friendly."
"One area that could be improved is the capability to find duplicates of datasets."
"One of the main areas for improvement is its governance capabilities. Atlan supports only basic out-of-the-box workflows, and it becomes challenging to customize features like how data owners should approve access to data assets."
"Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team."
"There are some improvements. There is a feature called Playbooks, which basically allows me to automate certain activities that would otherwise be manual. It's a very interesting feature, but there is room to improve it because, depending on the task you automate, the playbooks seem to have a hard time handling the task. So, it could be improved there. Even though it's a great feature, it can evolve further."
"The challenge is in the lineage, where it requires improvement."
"The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications."
"The challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."
 

Pricing and Cost Advice

"We pay per-user license. It's a different classification model than with other solutions, where they usually charge you for resources. So, that was a better model for us. And because of this difference in models or classification, it was cheaper for us to go with Atlan."
"The pricing was on the higher side but it wasn't excessively high."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
10%
Computer Software Company
9%
Insurance Company
8%
Computer Software Company
11%
Financial Services Firm
10%
University
7%
Energy/Utilities Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise7
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Atlan?
Atlas is competitively priced compared to other data governance platforms like Collibra and Informatica. The only major drawback is its lack of an integrated data quality module.
What needs improvement with Atlan?
Atlan can be improved by integrating agents that can support users in finding assets of interest.
What is your primary use case for Atlan?
Atlan is used as a data catalog and a data governance tool. The primary idea for implementing Atlan for data cataloging in day-to-day work was to create a business data catalog to support asset dis...
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...
 

Comparisons

 

Also Known As

No data available
Segment.io
 

Overview

 

Sample Customers

Information Not Available
Nokia, rdio, Bonobos, LiveNation, Atlassian
Find out what your peers are saying about Atlan vs. Segment and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.