NextFin News — The rules for artificial intelligence databases have not yet been solidified, and domestic manufacturers are positioned to transition from followers to co-definers of the industry, OceanBase Chief Executive Officer Yang Bing stated on Monday.
The product announcement marked the corporate launch of the firm's integrated lakebase AI database, a unified infrastructure designed to combine open data lake storage, relational database transaction processing, and multi-modal workflows into a single data layer. The software framework incorporates the Lakebase underlying engine, a DataStudio data governance layer, and a DataPilot business gateway, reducing total cost of ownership by 30% to 50% compared to traditional multi-system setups after successful pilot validations across platforms like Ant Group's LingGuang coding agent.
Database software developers on the Chinese Mainland are increasingly prioritizing multi-model storage frameworks to capture enterprise demand for localized retrieval-augmented generation and autonomous corporate workflows. By removing complex data pipelines between isolated transactional and analytical systems, technology vendors are stabilizing IT infrastructure overhead for institutional clients executing large-scale agent deployments. This structural consolidation enables corporate treasurers to streamline software procurement budgets, reinforcing long-term valuation metrics for cross-border asset managers tracking the digital intelligence infrastructure ecosystem.
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