Agent Development at Ant Afu
A healthcare AI app serving 100M+ users runs an agent-driven build-and-test loop on Fork Database, with isolated sandboxes for each agent.
Millisecond DB cloning
Meet OceanBase AI Database, the unified database for operational data, real-time analytics, and AI. Explore ->
Meet OceanBase AI Database, the unified database for operational data, real-time analytics, and AI. Explore ->
OceanBase AI Database
The unified database for operational data, real-time analytics, and AI.
}The difference}
Built for the AI‑Native Data Stack
Combine the openness of a data lake with the structure and online serving of a database - one architecture for multimodal data, real-time analytics, and AI agents.
One Lakebase, Zero Data Silos
Structured, semi-structured, and unstructured data in one architecture — no copies, no silos.
One metadata
Govern every data type through a unified metadata layer.
One copy of data
Analytics and AI run on the same data — no movement, no duplication.
One architecture
Unite lake storage and database serving to simplify the AI data stack.
One Table, All Data Types
Store fields, JSON, full-text, vectors, and large objects as native columns of one table.
Adaptive storage
Small values stay inline, large ones move to object storage.
AI columns
Embeddings run as table columns — retryable, consistent with data.
Unified governance
One set of permissions, lineage, and lifecycle across every data type.
Hybrid Search, Built In
Vector, full-text, and structured filtering in a single query.
Real-time retrieval
Search fresh operational and multimodal data without external sync.
Higher relevance
Semantic + keyword recall, ranked in-engine with strong consistency.
Simpler stack
No separate vector database or search engine to run and sync.
Ready for Agents
Persistent memory, context, and state for Agents — all in one place.
Fork database
Create isolated sandbox in milliseconds, rollback when needed.
Per-agent boundaries
Give each agent its own data scope on shared resources.
Scale elastically
Grow from one agent to large concurrent agent workloads.
Open by Design
Connect storage and compute engines without rebuilding the stack.
Open storage
Support S3-compatible object storage and Iceberg table formats.
Open compute
Run SQL, Spark and Ray on the same data.
Lower cost
Multi-tenancy and advanced compression cut storage cost up to 70–90%.
What Teams Build on It
Risk & Trust
Risk Decisioning
Bring transactions, user behavior data, chats, and logs into one consistent view for real-time risk blocking, follow-up reviews, and historical investigations.
Real-time / HTAP
Operational Analytics
Analyze live operational data the moment it lands, so dashboards, reports, and pricing always reflect the current moment.
AI Infra
Agent Applications
Run one agent or a massive fleet on shared infrastructure, each with persistent memory and its own isolated sandbox.
Conversational AI
Service Agents & Assistants
Resolve customer questions from a single, real-time view of business data and knowledge — no conflicting answers.
Search & Recommendation
Personalized Recommendation
Match users to the right items in milliseconds, drawing on one profile that unifies their attributes, behavior, and preferences.
Legacy Modernization
Stack Consolidation
Replace fragmented database, search, vector, and analytics tools with one engine — cutting complexity and storage cost.
}Production Proof}
Proven in production
From healthcare AI to large-scale agent platforms, teams run on OceanBase to simplify data stack, scale agent workloads, and reduce infrastructure costs.
30M-Agent Infra at Lingguang AI
A consumer AI platform sustains massive 24/7 agent concurrency while consolidating a multi-system stack onto one engine.
Massive scale
Enterprise AI Operations at China Unicom
China Unicom uses RAG to bring real-time operational knowledge into AI workflows, improving response speed and answer accuracy for database operations.
30% less hardware
AI-Powered Logistics at Lalamove
Lalamove brought AI into logistics with OceanBase: loss-risk code detection and a data-warehouse Q&A assistant on a simplified stack.
Simpler stack, lower cost
Fits the AI stack you already use
Open formats and native connectors mean LakeBase works with your frameworks, engines, and tools — no rip-and-replace.
