crate vs llm-app
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| crate | llm-app | |
|---|---|---|
| Tagline | CrateDB is a distributed SQL database for real-time analytics of big data. | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 4.4k | 59k |
| Forks | 602 | 1.4k |
| Open issues | 305 | 10 |
| Language | Java | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 5, 2026 |
| Categories | Data & Retrieval | Data & Retrieval, LLM Frameworks |
crate
A scalable and PostgreSQL-compatible distributed SQL database, CrateDB supports time-series data, full-text search, and geospatial capabilities. Ideal for containerized environments and hybrid clouds.
Java
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.
Jupyter Notebook