Conductor's Implementation of Onehouse for Data Lakehouse Solutions

This case study documents Conductor's implementation of Onehouse's Universal Data Lakehouse platform to address significant data management challenges. Conductor faced issues with a fragmented data architecture, leading to data duplication and performance inconsistencies. Their previous infrastructure management was burdensome, requiring extensive coordination and technical expertise. The integration of Onehouse provided a managed Spark Kubernetes cluster, simplifying their data operations and improving system observability. The evaluation of various query engines revealed that StarRocks offered the best performance for their needs. The implementation resulted in reduced query times from 20-30 seconds to 5-7 seconds, with ongoing efforts to achieve sub-3 second response times. Cost management improved significantly, particularly with a shift from Kafka/Flink to S3-based ingestion, reducing monthly costs dramatically. Overall, the transition allowed Conductor to refocus on core business activities, enhancing their capabilities in website monitoring and SEO services while supporting their growth.