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Segment vs Treasure Data comparison

 

Comparison Buyer's Guide

Executive Summary

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

Segment
Ranking in Customer Data Platforms (CDP)
1st
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
4
Ranking in other categories
Web Analytics (11th), Data Governance (48th)
Treasure Data
Ranking in Customer Data Platforms (CDP)
3rd
Average Rating
9.0
Reviews Sentiment
5.8
Number of Reviews
1
Ranking in other categories
Data Warehouse (18th), AI Customer Experience Personalization (61st)
 

Mindshare comparison

As of March 2026, in the Customer Data Platforms (CDP) category, the mindshare of Segment is 13.1%, up from 6.8% compared to the previous year. The mindshare of Treasure Data is 6.0%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Customer Data Platforms (CDP) Mindshare Distribution
ProductMindshare (%)
Segment13.1%
Treasure Data6.0%
Other80.9%
Customer Data Platforms (CDP)
 

Featured Reviews

reviewer2808258 - PeerSpot reviewer
Web and marketing automation specialist at a logistics company with 5,001-10,000 employees
Centralized customer data has powered predictive audiences and proactive marketing campaigns
The best features Segment offers are the audience building features. We've also launched predictive audiences, which is so far really promising for us and marketing has a lot of ideas for activating these types of audiences. We're going from using historical data to using current data to get more predictive with how we're activating. In my experience, the audience building tools compared to other solutions I've seen or used are really sophisticated. I've used other CRMs in the past for this, and I would say the type of data you're not getting as much of is what you do when you're activating or creating the audiences within the CDP. I think predictive audiences require a 360 view of the customer in order to create these types of AI audiences because they use a lot of different data points. How it's helping the team is by giving us more ways to reach our customers and being more proactive in the type of campaigns that marketing can launch. They have a lot of good ideas and some good things in the pipeline.
DEEPAK SINGH THAKUR - PeerSpot reviewer
Software Engineer at Indegene
Users can effortlessly create tables and manage data, even without utilizing the graphical interface
The initial setup is difficult due to the lack of detailed documentation. While the documentation provides a high-level overview, it lacks the specific instructions needed for setup. We relied on assistance from the Treasure Data team, including their support team, to navigate the process. Additionally, various policies to consider further complicate the setup, which ultimately requires time. We handle a large volume of data, and ensuring everything runs smoothly is crucial. Previously, it would take three to four months for one deployment due to the need to create workflows, conduct functional and comprehensive testing to ensure everything works seamlessly, and then proceed with delivery.
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Top Industries

By visitors reading reviews
Computer Software Company
10%
University
8%
Financial Services Firm
8%
Comms Service Provider
6%
Manufacturing Company
20%
Computer Software Company
8%
Recreational Facilities/Services Company
8%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

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What needs improvement with Treasure Data?
In data management, we have a lot of data, including some PII, visible to everyone without any restrictions. This poses a significant problem because there isn't proper control over who can access ...
What is your primary use case for Treasure Data?
We need to create a 360-degree profile of a user using data from multiple sources. Subsequently, we utilize this data for marketing purposes.
What advice do you have for others considering Treasure Data?
We used to gather data from various sources, including websites. The data used to flow in real-time, requiring us to capture it promptly. Within seconds, we could see four to five reports. Treasure...
 

Comparisons

 

Also Known As

Segment.io
No data available
 

Overview

 

Sample Customers

Nokia, rdio, Bonobos, LiveNation, Atlassian
Pioneer, Dentsu, Diverse, Albert, Retty, FreakOut, Mobfox, Pebble, Livesense, GREE, Cookpad, Dashbid, Cloud9, Just Premium
Find out what your peers are saying about Twilio, mParticle, Treasure Data and others in Customer Data Platforms (CDP). Updated: February 2026.
884,797 professionals have used our research since 2012.