Apna Unlocks AI Job Matching for 50 Million Users With Confluent & Onehouse

Apna, India's largest jobs site, has successfully re-architected its platform using technologies like Apache Kafka and a universal data lakehouse for faster growth and innovation. The company moved from a monolithic software architecture with batch updates to microservices, streaming data pipelines, and a data lakehouse architecture for data integration. This change allowed Apna to outperform competitors by improving customer experience while reducing costs and time-to-market for new business solutions. The organization's new data infrastructure is built on Confluent Cloud and Onehouse's universal data lakehouse, both of which are open source technologies that support key use cases like change data capture (CDC) for operational databases. Apna's adoption of these managed services has enabled the company to maintain high levels of engagement with its partners while focusing on industry-specific innovation and business needs.

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