
seekdb, a MySQL-compatible state store for AI agents, delivers hybrid search in one SQL, 1,523 QPS streaming with 1.1× P99 jitter, and kernel-level Fork/Diff/Merge sandboxes for safe agent exploration.


Streaming benchmark shows traditional bulk-load tests miss agent needs. seekdb's fixed dual-index keeps P99 jitter at 1.1×.


Nature designed memory and forgetting together. We want to translate that design into code that can be configured and tuned.


Learns how locality in OceanBase turns a DR topology into something the cluster enforces - replica counts, replica types (F/R/C), and zone placement.


How to choose the right OceanBase disaster recovery architecture by failure domain - Server, Zone/IDC, Region, or full cluster - with a decision matrix.


Under streaming AI workloads, vector databases see high P99 jitter (1.1×–10.3×) under concurrency. seekdb v1.3.0’s fixed delta+snapshot HNSW avoids this, delivering 22× QPS and 19× P99 gains over prior version.


Multi-tenancy, elastic scaling, always-on uptime — SaaS workloads have a very specific database profile. Here's how six SaaS requirements translate into concrete database capabilities, and where most platforms fall short.


Centralized databases, manual sharding, and middleware-based scaling are reaching their limits. Here's why mission-critical workloads now demand native distributed SQL — and what that architecture actually looks like.


A kernel-level look at OceanBase's three HA mechanisms — multi-replica Paxos, arbitration-based recovery, and tenant-level physical standby — and where each fits.


A hands-on guide to seekdb D0, the free trial entry point for OceanBase's AI-native hybrid search database. Spin up a MySQL-compatible instance with vector, full-text, and data branching in one curl command — no signup, no credit card.

Product insights, engineering deep dives, and real-world use cases from the OceanBase team.

OceanBase has spent years working alongside leading fintech companies like AliPay, GCash, and DANA. Here's what we've learned about what fintech data infrastructure really needs, and how AI is raising the bar, and how OceanBase addresses the needs with an unified architecture.


seekdb, a MySQL-compatible state store for AI agents, delivers hybrid search in one SQL, 1,523 QPS streaming with 1.1× P99 jitter, and kernel-level Fork/Diff/Merge sandboxes for safe agent exploration.


Streaming benchmark shows traditional bulk-load tests miss agent needs. seekdb's fixed dual-index keeps P99 jitter at 1.1×.


Nature designed memory and forgetting together. We want to translate that design into code that can be configured and tuned.


Learns how locality in OceanBase turns a DR topology into something the cluster enforces - replica counts, replica types (F/R/C), and zone placement.


How to choose the right OceanBase disaster recovery architecture by failure domain - Server, Zone/IDC, Region, or full cluster - with a decision matrix.


Under streaming AI workloads, vector databases see high P99 jitter (1.1×–10.3×) under concurrency. seekdb v1.3.0’s fixed delta+snapshot HNSW avoids this, delivering 22× QPS and 19× P99 gains over prior version.


Multi-tenancy, elastic scaling, always-on uptime — SaaS workloads have a very specific database profile. Here's how six SaaS requirements translate into concrete database capabilities, and where most platforms fall short.


Centralized databases, manual sharding, and middleware-based scaling are reaching their limits. Here's why mission-critical workloads now demand native distributed SQL — and what that architecture actually looks like.


A kernel-level look at OceanBase's three HA mechanisms — multi-replica Paxos, arbitration-based recovery, and tenant-level physical standby — and where each fits.


A hands-on guide to seekdb D0, the free trial entry point for OceanBase's AI-native hybrid search database. Spin up a MySQL-compatible instance with vector, full-text, and data branching in one curl command — no signup, no credit card.


Learn how to connect Claude to OceanBase using the Model Context Protocol (MCP) and enable dynamic schema discovery and natural-language SQL without brittle prompt engineering.


seekdb M0 splits accumulated agent knowledge into Experience (strategy) and Skill (operations), connected by progressive loading. On AppWorld, GPT-4o + M0 hits 39% pass rate vs 24% baseline, with −35% steps and −32% tokens.
