Beautiful Destinations is a media company that seeks to make the world a better place through the sharing of authentic, inspirational and immersive travel stories. Since 2012, we’ve built the largest, millennial travel community on social media with over 15 million followers in 180 countries, who turn to us daily on Instagram, Facebook, Snapchat, YouTube and Weibo. Every day, we produce and curate content that showcases the beauty of the world and inspires people to get out and travel. Beautiful Destinations’ award-winning creative agency creates “social-first” content for some of the world’s best travel brands, with a focus on tourism boards. The team specializes in photography, drone, and video (regular, vertical and 360) content creation for a mobile, millennial audience to help brands generate a return on social media through storytelling. Fast Company named Beautiful Destinations one of the World’s Most Innovative Companies in 2017.
SaaS Adoption
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Cloud Adoption
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IT Footprint
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IT Spend
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Enlyft tracks the use of over 15,000 technologies and has proprietary data on over 18 million companies worldwide.
Beautiful Destinations uses 5 different technologies from 18 different vendors. They have above average use of several technologies including OpenAI, PostgreSQL and Python.
Beautiful Destinations uses products from 28 different product categories. They are particularly heavy users of products in Software Frameworks, Enterprise HR Management, and Cloud Platforms & Services.
Enlyft tracks the use of over 15,000 technologies and has proprietary data on over 18 million companies worldwide.
Technology | Category | Vendor | Usage |
---|---|---|---|
PostgreSQL | Database Management System | PostgreSQL Global Development | ![]() |
Node.js | Software Frameworks | Node.js Foundation | ![]() |
Python | Programming Languages | Python Software Foundation | ![]() |
PayPal | Online Payment | PayPal | ![]() |
Xero | Accounting | Xero | ![]() |
What other companies use PostgreSQL?
Who are the biggest users of Software Frameworks?
What countries, industries, and company sizes are most likely to use Python?