Meet OceanBase AI Lakebase, the unified database for operational data, real-time analytics, and AI.
Meet OceanBase AI Lakebase, the unified database for operational data, real-time analytics, and AI. Explore ->
Vertical Scaling in OceanBase: Upgrade Node Capacity Without Database Downtime
This is the third article in OceanBase's Elastic Scaling series, covering vertical scaling — replacing existing nodes with higher-spec machines while keeping the cluster's logical topology (node count) unchanged, making the process nearly transparent to applications.
Built to Scale: Unifying Transactions, Analytics, and Intelligence with OceanBase
How distributed architecture changes the design of payment, commerce, healthcare, telecom, logistics, SaaS and intelligent application workloads.
From Distributed OLTP to AI Lakebase: Five Architectural Shifts for Production AI
Charlie Yang explains the five architectural shifts that take a unified distributed database to an AI Lakebase: from relational tables to multimodal tables, lookup to hybrid search, human-friendly to agent-friendly, SQL compute to open compute, and schema to semantics.
OceanBase DataPilot AIP: A Different Path to Ontology-Driven AI Capability Surfaces
Enterprise AI Agents need more than NL2SQL — they need a governed capability surface. Learn how OceanBase DataPilot builds Ontology bottom-up, turning validated analyses into reusable, governed Actions inspired by Palantir AIP.
Scale Out Without Downtime: How OceanBase Adds Nodes Online
Learn how OceanBase achieves zero-downtime horizontal scaling through automatic data rebalancing, Multi-Paxos consensus, and transparent routing via ODP. Add nodes with a single parameter change.
Ontology vs. Semantic Layer: Why Your AI Agent Needs Both
Ontology vs. semantic layer: two different problems in the AI data stack. Why you need both, what breaks with only one, and how OceanBase unifies them.
OceanBase Tenant-Level Scaling: Adjust Resources in Seconds
OceanBase tenant-level scaling adjusts CPU, memory, and IOPS quotas in seconds — no data migration, no failover, no application changes. Here's how it works.
How to Eliminate Manual Database Sharding and Scale Writes Without Application Complexity
Learn how OceanBase eliminates manual sharding with transparent partitioning, automatic routing, distributed transactions, and online rebalancing.
Deploy and Run OceanBase from Qoder Desktop in One Sentence
See how the OceanBase plugin for Qoder Desktop handles host checks, deployment, verification, lifecycle operations, and ecosystem components.
Start Small, Scale Big: Inside OceanBase's Distributed Architecture
OceanBase's integrated standalone-distributed architecture lets you start small, scale big — without repeated migrations.
OceanBase Blog
Product insights, engineering deep dives, and real-world use cases from the OceanBase team.
OceanBase Lakebase unifies multi-modal data, transactions, analytics, and AI search in one engine for the agent era.
Vertical Scaling in OceanBase: Upgrade Node Capacity Without Database Downtime
This is the third article in OceanBase's Elastic Scaling series, covering vertical scaling — replacing existing nodes with higher-spec machines while keeping the cluster's logical topology (node count) unchanged, making the process nearly transparent to applications.
Built to Scale: Unifying Transactions, Analytics, and Intelligence with OceanBase
How distributed architecture changes the design of payment, commerce, healthcare, telecom, logistics, SaaS and intelligent application workloads.
From Distributed OLTP to AI Lakebase: Five Architectural Shifts for Production AI
Charlie Yang explains the five architectural shifts that take a unified distributed database to an AI Lakebase: from relational tables to multimodal tables, lookup to hybrid search, human-friendly to agent-friendly, SQL compute to open compute, and schema to semantics.
OceanBase DataPilot AIP: A Different Path to Ontology-Driven AI Capability Surfaces
Enterprise AI Agents need more than NL2SQL — they need a governed capability surface. Learn how OceanBase DataPilot builds Ontology bottom-up, turning validated analyses into reusable, governed Actions inspired by Palantir AIP.
Scale Out Without Downtime: How OceanBase Adds Nodes Online
Learn how OceanBase achieves zero-downtime horizontal scaling through automatic data rebalancing, Multi-Paxos consensus, and transparent routing via ODP. Add nodes with a single parameter change.
Ontology vs. Semantic Layer: Why Your AI Agent Needs Both
Ontology vs. semantic layer: two different problems in the AI data stack. Why you need both, what breaks with only one, and how OceanBase unifies them.
OceanBase Tenant-Level Scaling: Adjust Resources in Seconds
OceanBase tenant-level scaling adjusts CPU, memory, and IOPS quotas in seconds — no data migration, no failover, no application changes. Here's how it works.
How to Eliminate Manual Database Sharding and Scale Writes Without Application Complexity
Learn how OceanBase eliminates manual sharding with transparent partitioning, automatic routing, distributed transactions, and online rebalancing.
Deploy and Run OceanBase from Qoder Desktop in One Sentence
See how the OceanBase plugin for Qoder Desktop handles host checks, deployment, verification, lifecycle operations, and ecosystem components.
Start Small, Scale Big: Inside OceanBase's Distributed Architecture
OceanBase's integrated standalone-distributed architecture lets you start small, scale big — without repeated migrations.
OceanBase DataStudio: From Stitched Pipelines to Unified AI Data Production
OceanBase DataStudio unifies data ingestion, processing, governance, and serving for AI training data — replacing multi-system pipelines with a single lakebase-integrated workbench.
Multimodel Tables: One Table for Every Modality Your Agent Needs
Multimodel tables unify structured, unstructured, vector, and JSON data with consistent transactions and hybrid search for agents.
