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Connect agents to streaming and lakehouse data with sub-second SQL, complex joins, and governed access inside your cloud.
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PhoenixAI provides a real-time analytical database designed to help AI agents, applications, and analytics teams query live and historical data. Its platform supports sub-second SQL, complex joins without advance precomputation, and governed access within a customer’s cloud environment. Data from streaming sources such as Kafka and Flink CDC can be queried within seconds, while lakehouse data in Iceberg, Delta Lake, and Hudi can be accessed alongside live tables without copying it into a separate system.
Customers can choose PhoenixAI Cloud, a fully managed service deployed in their AWS, Azure, or Google Cloud account, or PhoenixAI Anywhere, a self-managed Kubernetes offering for cloud environments, data centers, and air-gapped deployments. The platform includes isolated warehouses for agent, BI, ETL, and ad hoc workloads, plus query insights and monitoring for ingestion and latency. PhoenixAI serves use cases including AI agents, real-time and customer-facing analytics, and lakehouse analytics across industries such as finance, healthcare, retail, manufacturing, and logistics.
Company type
Public Company
Year founded
2020
Company size
51-200 employees
Real-time analytical databases
Agentic AI data infrastructure
Streaming SQL analytics
Apache Iceberg query engines
Customer-facing embedded analytics