🆚 SAP Customer Data Platform vs. Treasure Data

Compare technologies based on real-world usage data *

Type

Customer data platform
Customer data platform

About

The SAP Customer Data Platform (formerly Gigya) is a real-time data management solution that enables organizations to consolidate, enrich, and activate customer data from various sources.

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

Headquarters

Walldorf, Baden-Württemberg, Germany
Mountain View, California, United States

Website

Pricing

Free version ❌
$140,000+/year
Free version ❌
1-month test drive$39,000
Custom

Categories

CDP › Rank #16
CDP › Rank #24

Popularity

Determined by the number of sites using each technology.

The SAP Customer Data Platform CDP is 2.2 times more popular than Treasure Data.
Total websites

Market share

CDP

Popularity by country

Determined by the number of sites detected from each country.

SAP Customer Data Platform is more popular in the United States, the United Kingdom, and Spain, while Treasure Data is more popular in Japan, Taiwan, and India.
Japan
United States
United Kingdom
Spain
Germany
Italy
Switzerland
France
Belgium
Netherlands

Awards

Popularity by domain category

Determined by the number of sites in each category.

SAP Customer Data Platform is more popular among sites focused on business, marketing and merchandising, and general news, while Treasure Data is more commonly used on alcohol and Internet services sites.
Business
Marketing/Merchandising
General News
Online Shopping
Motor Vehicles
Health
Entertainment
Fashion/Beauty
Sports
Travel

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#455
#1,167
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.