oceanbase vs llm-app
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| oceanbase | llm-app | |
|---|---|---|
| Tagline | The Fastest Distributed Database for Transactional, Analytical, and AI Workloads. | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 10k | 59k |
| Forks | 1.9k | 1.4k |
| Open issues | 538 | 10 |
| Language | C++ | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 5, 2026 |
| Categories | Developer Tools | Data & Retrieval, LLM Frameworks |
oceanbase
OceanBase is a distributed relational database developed by Ant Group, utilizing the Paxos protocol to offer high availability, linear scalability, and efficiency. It supports PB-level data and trillion-row record scenarios and provides ultra-fast performance with cost-efficiency savings up to 70%–90%. The database also enables real-time analytics and full-text search.
llm-app
Pathway Live Data Framework AI Pipelines provides LLM App Templates for deploying high-accuracy retrieval-augmented generation (RAG) and enterprise search applications. The templates sync with various data sources including file systems, Google Drive, Sharepoint, S3, Kafka, PostgreSQL, real-time APIs.