Build faster with
Apollo GraphOS for Travel
Apollo GraphOS for Travel
The current state of travel
As the world adapts to a new normal, consumer trends point to a resurging demand for travel this year and beyond. Building on this momentum is paramount to meet customers’ evolving needs and expectations. Engineering teams within travel companies must bring disparate internal and external data sources together to create better user experiences that delight customers while:
Keeping them engaged throughout their journey
Seamlessly integrating with partners
Mitigating scraping and bot attacks
Companies generate a lot of data, but making it easily consumable by product teams is often a herculean task. A capability to retrieve and surface the right piece of information at the right time is key to ensuring customers stay engaged.
With Apollo GraphOS, companies such as Expedia and Booking.com are building supergraphs that power their business and help them thrive. GraphQL is an essential asset that allows travel companies to overcome technical challenges and organizational obstacles that emerge within a distributed architecture.
Leading travel organizations
are using Apollo GraphOS to:
Deliver personalized experiences
Leverage Apollo Federation to establish a centralized and consistent data source, empowering you to generate real-time insights and personalized recommendations for your customers’ journey.
Ship products faster with SDUI
Adopt GraphQL and a server-driven UI architecture to quickly update how your apps operate without waiting for an app store release.
Mitigate scraping and bot attacks
Secure and protect your GraphQL schema from malicious bots while allowing your customers and search engines to crawl and index your site using GraphOS.
Seamlessly integrate with partners
Use GraphOS Contracts to generate subsets of your supergraph graph, allowing you to selectively expose specific data to external partners based on their requirements.
Travel Success Stories
With a supergraph, we could create a single source of truth for definitions of every entity in our data model . . . eliminating a huge amount of maintenance work associated with these disparate graphs. For us, it was worth it.
— Mike Byrnes, Principal Software Engineer, Priceline.com
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