According to AIbase, at today's 2026 Alibaba Cloud PolarDB Developer Conference, Alibaba Cloud announced a major upgrade of its cloud-native database PolarDB, officially launching the series of native AI capabilities, including **AI Data Lakehouse (Lakebase)**. This release marks the deep evolution of PolarDB from "cloud-native" to "AI-native," aiming to internalize large model capabilities as the "blood" of the database.

For the first time, Alibaba Cloud clearly defined the four core technical pillars of an "AI-ready database," aiming to lower the threshold for developers to build AI applications through the reshaping of the underlying architecture:

  • Multi-modal AI Data Lakehouse (Lakebase): Adopting a "lake and warehouse integrated" architecture, it enables unified storage and management of structured, semi-structured, and unstructured data. It supports I/O and bandwidth acceleration, breaking down traditional data silos.

  • Efficient Integrated Search Capabilities: Deeply integrates vector retrieval and full-text retrieval within SQL, achieving precise integration of semantic understanding and keyword matching.

  • Model Operator Services: Supports in-database inference (In-DB) and AI short-term and long-term memory mechanisms. Developers can perform semantic retrieval and logical processing directly within the database, ensuring that "data stays within the domain" and protecting privacy and security.

  • Backend Services for Agent Development: Provides multi-tenant, serverless packaging, and other managed capabilities such as Supabase, significantly accelerating the deployment of intelligent agents (Agents) in vertical industries.

Li Feifei, Senior Vice President of Alibaba Cloud, stated that AI-native is the inevitable direction of database evolution. Currently, the number of PolarDB users both domestically and internationally has exceeded 20,000, with a global deployment scale exceeding 3 million cores, covering 86 availability zones worldwide. Its AI-related features have been scaled and applied in multiple core business scenarios, including finance, automotive, and government sectors.