OceanBase has launched an AI database portfolio as enterprises look for simpler ways to connect trusted business data with AI agents.
The OceanBase AI Database is built on the company’s LakeBase architecture, which combines data lake storage, database transaction processing and multimodal data capabilities.
Its portfolio covers structured, unstructured and vector data, allowing enterprises to manage business records, documents, images, audio, video, logs and vectors within one data foundation.
The launch includes OceanBase Lakebase, the core data engine for managing, processing, searching and serving data.
OceanBase DataStudio supports data ingestion, processing, governance, semantic modelling and agent collaboration.
Meanwhile, OceanBase DataPilot helps users generate reports, dashboards and answers through natural language queries.
The portfolio is designed for enterprise AI systems that need access to real-time, governed and consistent business data.
Charlie Yang, Chief Technology Officer of OceanBase, said,
“As AI moves from answering questions to taking actions, databases must evolve from systems of record into trusted context engines for AI. OceanBase AI Database is not about stitching together data lake and database.
It is about bringing multimodal data, real-time serving, transaction consistency, and open compute into a single architecture.”
The company estimates that the AI Database can reduce total cost of ownership by about 30% to 50% compared with traditional solutions.
OceanBase named Ant Group’s AQ, Lingguang, Lalamove, China Unicom and Trip.com among users and AI use cases for the technology.
Featured image: Edited by Fintech News Singapore, based on image by OceanBase
