OceanBase is debuting OceanBase AI Database, a comprehensive portfolio designed to enable enterprises to manage multimodal data, deliver real-time trusted data context to AI agents, and simplify fragmented data architectures.
Built around a unified LakeBase architecture, the OceanBase AI Database integrates the openness and scale of data lakes, the transaction processing and real-time serving capabilities of databases, and native multimodal data processing capabilities. This enables enterprises to manage structured, unstructured, and vector data within a single, strongly consistent data foundation, according to the company.
OceanBase AI Database introduces a series of data products tailored for the AI era, including:
- OceanBase Lakebase: Serving as the underlying data engine, Lakebase enables structured, unstructured, and vector data to be managed, processed, searched, and served within a unified architecture, enabling enterprises to build a robust data foundation for the AI era.
- OceanBase DataStudio: Built upon the Lakebase engine, DataStudio is a data production, governance, and services platform, covering the entire lifecycle from data ingestion, processing, and orchestration to semantic modeling and agent collaboration, and turning data silos into callable data services.
- OceanBase DataPilot: Acting as a business intelligence agent for enterprises, DataPilot can generate analytical reports, data dashboards, and trusted answers through natural language, making data intelligence highly accessible to non-technical users.
As AI agents move from chat interfaces into production workflows, they require continuous access to memory, context, state, and enterprise data. At the same time, enterprise data is becoming increasingly multimodal, spanning business records, documents, images, audio, video, logs, and vectors. Traditional multi-system architectures struggle to provide the real-time, consistent, and governed context that AI agents require, the company said.
To address this, OceanBase proposes the LakeBase architecture, which brings the openness and massive storage capabilities of data lakes together with the consistency, online serving, and reliability of databases. By extending transaction consistency, high availability, and elasticity proven in financial core systems to data lake and multimodal data scenarios, OceanBase AI Database provides a unified data foundation for modern AI applications.
"As AI moves from answering questions to taking actions, databases must evolve from systems of record into trusted context engines for AI," said Charlie Yang, chief technology officer of OceanBase. "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.”
Over the past few years, OceanBase has already supported AI application deployment across multiple industries, the company said.
For more information about this news, visit www.oceanbase.com.