Learn OceanBase

🌊 Meet OceanBase: Open-source, distributed, and built for mission-critical apps. On-prem, hybrid, or multi-cloud? We’ve got you covered. 🧑‍🚀 Watch our video to see why it’s the top choice for mission-critical business operations👉youtu.be/qNGHXThYntk #OceanBase #database

Vector + keyword search in one SQL statement, one transaction, one result set. No app-layer merge from separate systems. seekdb combines IVF indexes (up to 16K dims) w/ multiple full-text tokenizers in one engine: en.oceanbase.com/blog/266322877… #OceanBase #VectorSearch

Neon: best Postgres branching, account required. Dolt: strongest Git semantics, no vector search. seekdb D0: MySQL + vector/full-text/hybrid + COW branching + zero signup. Each tool picks different trade-offs: en.oceanbase.com/blog/266322877… #OceanBase #DistributedSQL

FORK TABLE, DIFF TABLE, MERGE TABLE. Three SQL statements give your agent a pull-request workflow for data. Agent experiments on a branch, main table untouched until explicit merge. Conflict strategies: FAIL, THEIRS, OURS: en.oceanbase.com/blog/266322877… #OceanBase #DevTools

No MCP plugin. No SDK. No client library. seekdb D0 exposes one SKILL.md file at a URL. Any LLM that reads text can provision a database, connect, query, fork, diff, & merge, all autonomously. One prompt: en.oceanbase.com/blog/266322877… #OceanBase #LLM

LLMs generate MySQL more often than Postgres when prototyping. Lighter drivers (PyMySQL: pure Python, zero native deps), no sslmode negotiation. For agents spinning up throwaway DBs, less error surface. Why seekdb chose MySQL natively: en.oceanbase.com/blog/266322877… #OceanBase #MySQL

Why does seekdb fork a 100GB database as fast as 1MB? LSM-Tree storage is append-only, FORK just records the log sequence number as a branch point. No data copied, new files only on write. Constant cost: en.oceanbase.com/blog/266322877… #OceanBase #Database

Your AI agent can't fill a signup form. seekdb D0 removes the form: one POST, no auth, no credit card. Five seconds later the agent has a MySQL instance w/ vector search, full-text search, & data branching. How it works: en.oceanbase.com/blog/266322877… #OceanBase #AgenticAI

Building a local-first AI tool? Your storage layer needs: hybrid search (keyword + vector), embedded mode (no server), built-in embedding generation, & ACID. Here's how seekdb covers all four in one project: en.oceanbase.com/blog/267907136… #OceanBase #DistributedSQL

Karpathy's LLM Wiki got one thing right: plain text + LLM is enough for a knowledge base. But it missed compilation — new info should update state, not append to a log. A dev built exactly this on seekdb. Architecture walkthrough: en.oceanbase.com/blog/267907136… #OceanBase #Database

If you're building a CLI tool in 2026, consider shipping it w/ an MCP server. One JSON config & Claude can read, write, search, & compile against your local data. Here's a working example w/ seekdb underneath: en.oceanbase.com/blog/267907136… #OceanBase #AgenticAI

Interesting pattern in AI dev tools: single embedded DB file, zero ops. No server, no Docker. seekdb ships HNSW + BM25 + built-in AI functions in one file on disk. Here's how one project used it to build a self-updating knowledge base: en.oceanbase.com/blog/267907136… #OceanBase #AI

Your knowledge base has a freshness problem. Notes pile up, nothing gets updated. One dev built a CLI that compiles new info into existing pages instead of appending — w/ seekdb as the storage layer. Full build story: en.oceanbase.com/blog/267907136… #OceanBase #LLM

Primary-standby: single-writer, 3–5 min RTO, standby at 0.33x cost. Active-active: multi-writer, near-zero RTO, full capacity both sides. Same failure domain coverage, different trade-offs. When to choose which: en.oceanbase.com/blog/267907136… #OceanBase #DisasterRecovery

DR that protects against cloud-wide outages is useless if losing your DR layer is one failure away. 1:n topology: up to 3 standbys on separate vendors, no cascading replication, auto-rewire on promotion. Redundancy at the DR layer itself: en.oceanbase.com/blog/267907136… #OceanBase #SRE

Cross-cloud failover in 3–5 min. Standby cost as low as 0.33x primary spec. Up to 3 standbys across different cloud vendors & regions. After promotion, remaining standbys auto-rewire to the new primary. Full mechanics: en.oceanbase.com/blog/267907136… #OceanBase #MultiCloud

During cross-cloud failover, the DB moves to a different provider. Your connection string stays the same. Routing happens at the endpoint layer, not DNS, no TTL delays, no app config changes. How it works: en.oceanbase.com/blog/267907136… #OceanBase #DistributedSQL

Two ways to sync a cross-cloud standby: direct network (ms latency, serves reads) vs log archiving via object storage (seconds, zero network infra). Different cost/RPO trade-offs. Architecture walkthrough: en.oceanbase.com/blog/267907136… #OceanBase #HighAvailability

Aurora, Spanner, AlloyDB run on proprietary infra. Cross-cloud replication is architecturally impossible for them. A cloud-neutral DB places standbys on independent providers w/ separate control planes & failure domains: en.oceanbase.com/blog/267907136… #OceanBase #Database

Multi-region protects against DC outages, not cloud provider outages. Every replica & failover target sits behind the same control plane. Cross-cloud DR needs a fundamentally different architecture: en.oceanbase.com/blog/267907136… #OceanBase #CloudNative

Most "AI-ready" databases bolt on vector search & call it a day. #OceanBase started from the other end — 15 years of OLTP under Alipay-scale production pressure, then added retrieval. Foundation first. en.oceanbase.com/blog/267506058… #AgenticAI