Apna Unlocks AI Job Matching for 50 Million Users With Confluent & Onehouse
Blog post from Onehouse
Apna, a leading jobs site in India, has evolved from a monolithic software architecture to an advanced, flexible data infrastructure to support its rapid growth and innovation, particularly in AI and machine learning for job matching. The company transitioned to a microservices architecture using Confluent's data streaming platform and Onehouse's universal data lakehouse, enabling real-time data processing and reducing costs, while improving the time to market for new solutions by 2x. This new setup enhances data freshness, operational efficiency, and scalability, providing a single source of truth for analytics and facilitating seamless integration across open-source standards. The adoption of these technologies has allowed Apna to focus on core business innovations, such as an AI-powered matching service, while maintaining robust security and high availability. This strategic shift not only solves previous infrastructure challenges but also positions Apna as a benchmark for leveraging technology to achieve business objectives and future innovations, such as an enhanced job recommendation engine and data democratization initiatives.
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