A deep dive into OceanBase's automatic partition splitting feature: the pain points of manual partitioning, the principles, characteristics, applicable scenarios, and usage of automatic splitting, plus prerequisite knowledge on partitioned tables, helping you make full use of distributed capabilities without planning partitions yourself.
Doc2Dev builds a code documentation retrieval engine on the OceanBase vector database, providing AI coding assistants with up-to-date documentation through semantic search and MCP integration, effectively eliminating code hallucinations.
Kuaishou migrated from MySQL sharding to OceanBase, covering PB-scale core businesses such as transaction reconciliation and payments, and upgraded from version 3.1 to 4.3—cutting machine costs by 31% and saving 50% of resources.
After comparing HBase-Phoenix, Ignite, and TiDB for its new-energy and metro projects, Tongfang Smart Energy chose OceanBase 4.2.1, achieving twice the performance of MySQL 8.0, replacing a complex Hadoop architecture, and building a highly reliable, easy-to-maintain energy data foundation.
OceanBase Agent leverages large models to simplify daily database operations. With 70+ built-in SQL tools, support for custom Tools, Playbook task flows, and MCP extensions, a DBA can build their own operations Agent simply by writing SQL.
A core Dify contributor unpacks the Agentic AI trend and the platform capabilities it demands, introduces how OceanBase provides one-stop support for Dify across Database, Cache, and vector search, and shares a hands-on case of a conversational psychological assessment scale.
Facing three major dilemmas—sharding, resource isolation, and resource fragmentation—the TAL Education Group adopted OceanBase and deeply cultivated five scenarios: learning machines, multi-data-center disaster recovery, AI business, online-school reports, and content moderation. By leveraging partitioned tables, columnar storage, multi-tenancy, and cloud-disk elastic scaling, AI-business storage costs dropped 86% per month, and report performance improved 60% over MySQL.
This article takes a deep dive into the core technologies behind OceanBase's extreme cost reduction across hardware, storage, and operations, including its standalone-distributed integrated architecture, on-demand loading of metadata for millions of partitions, disk I/O isolation, Compaction optimization, and encoding and compression. It illustrates the cost-reduction results with enterprise cases from Sichuan Huadi, 58.com, Energy Monster, Trip.com, Dmall, and Yunji.
Drawing on the real experience of an OceanBase community developer, this article shows how to use Cursor together with the OceanBase MCP Server to create tables and insert data through natural-language conversation, and to spin up a FastAPI backend service connected to OceanBase in just 5 minutes—giving you a feel for the brand-new development paradigm that Vibe Coding brings.
Traditional database operations require clicking through the console level by level and repeatedly consulting documentation—slow and inefficient. From a frontend perspective, this article introduces how to build a brand-new operations workflow for OB Cloud based on the MCP protocol and large models, demonstrating the possibility of AI replacing the traditional GUI through cases such as instance diagnostics, configuration changes, and SQL visualization.