🆚 Brandfolder vs. MediaValet

Type

Digital asset management software
Digital asset management software

About

Brandfolder is a digital asset management platform that enables companies to organize, manage, and distribute brand assets from a centralized cloud library.

It provides searchable asset collections with metadata and tagging, version control, shareable brand portals, customizable templates for creating on-brand content, and native integrations with Adobe Creative Cloud, Figma, Slack, WordPress, Shopify, and Contentful.

MediaValet is a cloud-native enterprise digital asset management platform built on Microsoft Azure for secure storage, team collaboration, and distribution of digital assets.

It provides AI auto-tagging, facial recognition, audio/video transcription, dynamic media transcoding, Experience Portals for curated external sharing, forensic watermarking and audit logs, and global content delivery across over 70 Azure regions worldwide.

Headquarters

Bellevue, Washington, United States
Vancouver, British Columbia, Canada

Website

Pricing

Free version ❌
Custom
Free version ❌
Custom

Categories

DAM › Rank #9
DAM › Rank #14

Popularity

Determined by the number of sites using each technology.

The Brandfolder DAM software is 11 times more popular than MediaValet.
Total websites

Market share

DAM

Popularity by country

Determined by the number of sites detected from each country.

Brandfolder is more popular than MediaValet in all countries.
United States
Netherlands
Canada
Australia
United Kingdom
France
Germany
Switzerland
Poland
Norway

Awards

Popularity by domain category

Determined by the number of sites in each category.

Brandfolder is more popular than MediaValet in all market segments.
Business
Marketing/Merchandising
Online Shopping
Education/Reference
Health
Travel
Internet Services
Non-Profit/Advocacy/NGO
Finance/Banking
Software/Hardware

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,764
View more ➝
Name
Rank
#22,488
#33,354
#50,818
#51,135
#64,778
View more ➝

See also

🗃️ About This Data