🆚 Nielsen vs. Piano

Compare technologies based on real-world usage data *

Type

Data management platform
Data management platform

About

The Nielsen DMP is a core application within the Nielsen Marketing Cloud that powers cross-platform consumer data analysis and management, segmentation and activation.

Piano Platform is a unified cloud-based solution that combines data management, audience segmentation, activation, and analytics.

It enables organizations to ingest behavioral and profile data in real time, build audience segments using machine-learning-driven propensity models, export them to activation systems, and measure results through dashboards and REST/GraphQL APIs.

Headquarters

New York, United States
Amsterdam, Netherlands

Website

Pricing

Free version ❌
Custom
Free version ❌
Custom

Categories

DMP › Rank #9
DMP › Rank #5
Analytics › Rank #56

Popularity

Determined by the number of sites using each technology.

The Piano DMP is 2.2 times more popular than Nielsen.
Total websites

Market share

DMP

Popularity by country

Determined by the number of sites detected from each country.

Piano is more popular in the United Kingdom, Germany, and France, while Nielsen is more popular in the United States, Italy, and New Zealand.
United States
United Kingdom
Italy
Germany
France
Romania
Australia
Japan
Finland
Poland

Awards

Popularity by domain category

Determined by the number of sites in each category.

Piano is more popular among sites focused on general news, entertainment, and business, while Nielsen is more commonly used on marketing and merchandising, online shopping, and education and reference sites.
General News
Entertainment
Business
Blogs/Wiki
Marketing/Merchandising
Finance/Banking
Sports
Portal Sites
Public Information
Online Shopping

Top sites

Top-ranked sites that use these technologies.

Name
Rank
View more ➝
Name
Rank
#125
#157
View more ➝

See also

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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.