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 ->
Building Durable Project Context: How MiniMax Code Works with PowerContext
How MiniMax Code approaches context management for coding agents: traceable multimodal evidence with seekdb, plus Memory and Handoff with PowerContext.
Building on the Semantic Layer: OceanBase DataPilot’s Approach to Ontology
OceanBase DataPilot uses ontology to help Data Agents understand business objects, relationships, and actions — moving beyond accurate queries to verifiable attribution and decision support.
PowerContext: A Foundation for Human–Agent Collaboration
PowerContext is open-source context infrastructure that lets people and AI agents hand off unfinished work across sessions, models, and agent hosts.
PowerContext 1.2.0 Adds Jev Integration, Improving Accuracy by 14.2%
PowerContext 1.2.0 connects project memory to decision models and adds native code understanding, helping coding agents make evidence-based changes.
From T+1 to Real Time: Rethinking Transactional and Analytical Workloads
OceanBase HTAP runs TP and AP workloads in one cluster using row, column, or hybrid storage, cutting analytics latency from T+1 to near real time.
Breaking 90% on DAB: What It Takes to Build a Reliable Data Agent
OceanBase's Data Agent scored 90.62% on the Data Agent Benchmark (DAB), the first to break 90%, outscoring GPT- and Claude-based agents by running on open-source GLM-5.2 with a full model + agent + data-system stack.
Inside OceanBase Multi-Tenancy: Resource Isolation, Allocation and Governance
OceanBase multi-tenancy consolidates many business systems into one cluster with tenant-level CPU, memory, and IOPS quotas — without the interference of a shared instance.
Data Matters
Fifteen years ago, OceanBase had just been born and proven its amazing ability during the 11.11 Global Shopping Festival. In those days, we spent every waking moment researching emerging technologies and envisioning an exciting new future. Then, a particular quote left a deep impression on me. Marc ...
AI-Ready Data: The Conversation We Need to Have Before We Talk About AI
The author moderated a roundtable with technology and data leaders on what it truly means to be "AI-ready" from a data perspective. The conversation went beyond expected topics (vector databases, RAG, data quality) into a more fundamental rethinking of data architecture assumptions.
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.
OceanBase Blog
Product insights, engineering deep dives, and real-world use cases from the OceanBase team.
Fifteen years ago, OceanBase had just been born and proven its amazing ability during the 11.11 Global Shopping Festival. In those days, we spent every waking moment researching emerging technologies and envisioning an exciting new future. Then, a particular quote left a deep impression on me. Marc ...
Building Durable Project Context: How MiniMax Code Works with PowerContext
How MiniMax Code approaches context management for coding agents: traceable multimodal evidence with seekdb, plus Memory and Handoff with PowerContext.
Building on the Semantic Layer: OceanBase DataPilot’s Approach to Ontology
OceanBase DataPilot uses ontology to help Data Agents understand business objects, relationships, and actions — moving beyond accurate queries to verifiable attribution and decision support.
PowerContext: A Foundation for Human–Agent Collaboration
PowerContext is open-source context infrastructure that lets people and AI agents hand off unfinished work across sessions, models, and agent hosts.
PowerContext 1.2.0 Adds Jev Integration, Improving Accuracy by 14.2%
PowerContext 1.2.0 connects project memory to decision models and adds native code understanding, helping coding agents make evidence-based changes.
From T+1 to Real Time: Rethinking Transactional and Analytical Workloads
OceanBase HTAP runs TP and AP workloads in one cluster using row, column, or hybrid storage, cutting analytics latency from T+1 to near real time.
Breaking 90% on DAB: What It Takes to Build a Reliable Data Agent
OceanBase's Data Agent scored 90.62% on the Data Agent Benchmark (DAB), the first to break 90%, outscoring GPT- and Claude-based agents by running on open-source GLM-5.2 with a full model + agent + data-system stack.
Inside OceanBase Multi-Tenancy: Resource Isolation, Allocation and Governance
OceanBase multi-tenancy consolidates many business systems into one cluster with tenant-level CPU, memory, and IOPS quotas — without the interference of a shared instance.
Data Matters
Fifteen years ago, OceanBase had just been born and proven its amazing ability during the 11.11 Global Shopping Festival. In those days, we spent every waking moment researching emerging technologies and envisioning an exciting new future. Then, a particular quote left a deep impression on me. Marc ...
AI-Ready Data: The Conversation We Need to Have Before We Talk About AI
The author moderated a roundtable with technology and data leaders on what it truly means to be "AI-ready" from a data perspective. The conversation went beyond expected topics (vector databases, RAG, data quality) into a more fundamental rethinking of data architecture assumptions.
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.
