PhoenixAI Integrates Agentic Database Engine into Cloudera Marketplace

The integration allows engineering teams to bypass traditional bottlenecks like complex ETL pipelines and data denormalization. By enabling SQL query performance across both live streaming data and historical lakehouse formats, the platform maintains low latency even under high concurrency. Deployments remain within the client’s private or public cloud environments, ensuring that sensitive AI workloads stay under local governance and control.

Andy Ye, co-founder and chief product officer at PhoenixAI, emphasized that the collaboration bridges the gap between experimental AI and production-grade applications. For Cloudera, the move strengthens its ability to offer sovereign infrastructure that meets strict auditing and role-based access requirements. The companies plan to host technical demonstrations of this joint architecture at the EVOLVE26 event in New York City on October 27, 2026.