🆚 Bloomreach vs. Treasure Data

Compare technologies based on real-world usage data *

Type

Customer data platform
Customer data platform

About

Bloomreach integrates real-time customer and product data with AI, enabling personalized marketing, product discovery and conversational shopping in one solution.

Treasure Data is an enterprise customer data platform that allows users to collect, store, and analyze their data on the cloud.

Headquarters

Mountain View, California, United States
Mountain View, California, United States

Website

Pricing

Free version ❌Free 60-day trial
Custom
Free version ❌
1-month test drive$39,000
Custom

Categories

CDP › Rank #13
CDP › Rank #24
Personalization › Rank #15

Popularity

Determined by the number of sites using each technology.

The Bloomreach CDP is 2.7 times more popular than Treasure Data.
Total websites

Market share

CDP

Popularity by country

Determined by the number of sites detected from each country.

Bloomreach is more popular in the United States, the United Kingdom, and the Netherlands, while Treasure Data is more popular in Japan, Taiwan, and India.
United States
United Kingdom
Japan
Netherlands
Germany
Denmark
Sweden
Slovakia
Czech Republic
Italy

Awards

Popularity by domain category

Determined by the number of sites in each category.

Bloomreach is more popular among sites focused on online shopping, business, and marketing and merchandising, while Treasure Data is more commonly used on motor vehicles, restaurants, and alcohol sites.
Online Shopping
Business
Marketing/Merchandising
Fashion/Beauty
Travel
Internet Services
Sports
General News
Real Estate
Motor Vehicles

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#239
#1,434
#2,092
#2,174
View more ➝
Name
Rank
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.