🆚 Kobo vs. Litres

Type

Ebook technology
Ebook technology

About

Kobo is a subsidiary of Rakuten that operates a digital bookstore, a subscription service, and a line of E Ink e-reader devices.

It offers a digital library of over 1.5 million ebooks and 150,000 audiobooks, supports open formats like EPUB, provides offline reading and cross-device syncing, and integrates with public libraries for borrowing.

Litres is a Russian digital content retailer and subscription service for ebooks and audiobooks.

It offers a catalog of over one million titles, supports self-publishing, and provides proprietary mobile apps for reading and listening across devices.

Headquarters

Tokyo, Japan
Moscow, Russia

Website

Pricing

Free version ❌
Kobo Plus Read $7.99/month
Kobo Plus Listen $7.99/month
Kobo Plus Read & Listen $9.99/month
Varies per book

Categories

Ebooks › Rank #6
Ebooks › Rank #7
Audiobooks › Rank #5
Audiobooks › Rank #6

Popularity

Determined by the number of sites using each technology.

Kobo ebook technology is 1.5 times more popular than Litres.
Total websites

Market share

Ebooks
Audiobooks

Popularity by country

Determined by the number of sites detected from each country.

Kobo is more popular in the United States, the United Kingdom, and Canada, while Litres is more popular in Russia, Ukraine, and the Netherlands.
Russia
United States
United Kingdom
Canada
Australia
Spain
France
Italy
Taiwan
Ukraine

Awards

Popularity by domain category

Determined by the number of sites in each category.

Kobo is more popular among sites focused on blogs and wiki, business, and personal pages, while Litres is more commonly used on marketing and merchandising, entertainment, and education and reference sites.
Marketing/Merchandising
Blogs/Wiki
Entertainment
Education/Reference
Business
Recreation/Hobbies
Health
Online Shopping
Media Downloads
Personal Pages

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#68,590
#121,778
View more ➝
Name
Rank
#2,242
#5,639
#38,633
#49,821
View more ➝

See also

🗃️ About This Data