Airpaz
Online travel platform for flight and hotel bookings
Industry
Travel Industry
Region
Asia Pacific
Use case
Data Orchestration
Tech stack
"Thank you for your hard work in creating this good software. It is beginner-friendly and easy to customize."
Since its creation in 2011, Airpaz has embarked on an ambitious journey to transform the travel industry. Initially focusing on flight ticket sales, the company has evolved to encompass a broad range of travel services, including international flights and accommodation bookings. As a third-party aggregator, Airpaz has successfully facilitated travel for over 3 million people, leveraging a diverse range of airlines and accommodation partners. Their commitment to enhancing the travel booking experience is reflected in their user-centric platform, which offers features like flexible payments, effortless booking management, and best-in-class customer support.
Operating primarily in the Southeast Asia market, with a footprint extending to Australia, China, Japan, and beyond, Airpaz aims to cater to the global travel community. To achieve this, they required a robust solution to efficiently orchestrate their data workflows.
Airpaz faced significant challenges with their data architecture as they expanded their services. Integrating multiple data sources, including CRM systems, product databases, and external sources like Google Ads, required a flexible and scalable solution. Their existing system, composed of ClickHouse for database management and custom Python scripts for data ingestion, struggled to keep up with the growing complexity.
“We needed a tool that integrated seamlessly with our tech stack while accommodating the custom logic essential for our diverse data operations.”
Explained the Data Engineering team at Airpaz.
“The challenge was orchestrating data pipelines across varied inputs efficiently without overwhelming our development team.”
The search for an optimal data orchestration tool led Airpaz to Kestra. Unlike other platforms, Kestra stood out for its simplicity, developer-friendly environment, and visual interface for flow design. The YAML-like configuration of Kestra resonated with Airpaz's preference for straightforward, manageable workflows.
" We could see how straightforward it was to integrate Kestra into our existing systems. Its developer-friendly environment and visual interface for flow design made it the ideal choice for us."
With Kestra, Airpaz transformed its data orchestration processes, automating previously manual data pipelines and establishing greater control over data flows. Kestra's visual interface streamlined the workflow design process, making it accessible for developers and data engineers to conceptualize, implement, and manage data flows.
“Kestra's visual interface and YAML configurations significantly reduced the learning curve and operational complexity, we could easily design, test, and deploy workflows without extensive scripting.”
Kestra has become an indispensable tool for Airpaz, transforming how they manage and orchestrate their data workflows. The platform's simplicity, powerful YAML-based configurations, and intuitive visual interface have empowered Airpaz to automate complex processes and maintain robust data pipelines.
What would change if your travel data workflows ran smarter—automating the complex pipelines that power bookings, pricing, and experiences?