Sample applications

Starter

JavaScript guestbook

A JavaScript guestbook app with several backend implementations.

Each application uses a different client library to communicate with CrateDB over HTTP.

https://github.com/crate/crate-sample-apps
Geospatial data

Geospatial data demo application using CrateDB and the Express.js framework.

Select a point of interest on a map, then drill up to the corresponding region.

https://github.com/crate/devrel-shipping-forecast-geo-demo
CrateDB Explore

Project that accompanies the “CrateDB Explore: IoT Analytics hands-on demo”.

The repository includes a Grafana setup and programs to walk you through a real-time IoT analytics application using weather data.

https://github.com/crate/cratedb-explore
Assorted examples

A collection of clear, concise examples about how to work with CrateDB.

The repository includes a variety of executable code snippets covering a wide range of clients and integrations.

https://github.com/crate/cratedb-examples

Advanced

Real-time analytics demo

End-to-end real-time analytics pipeline using AWS infrastructure and CrateDB.

Stream events from Kafka (Amazon MSK) through AWS ETL components, store them in CrateDB, and visualize with Grafana.

https://github.com/crate/realtime-demo
UK offshore wind farms data » Workshop

The workshop explores multimodel data modeling and queries with CrateDB and Leaflet.

Acquire geographic data in WKT format and hourly performance data in JSONL format about UK’s offshore wind farm sites, import them into CrateDB, and display them on map.

https://github.com/crate/cratedb-examples/tree/main/topic/multi-model
UK offshore wind farms data » Demo

Demo application that visualizes data in the UK offshore wind farms example dataset using CrateDB.

Navigate the map widget to see the locations of wind farms, then drill down into performance details about that wind farm and individual turbines.

https://github.com/crate/devrel-offshore-wind-farms-demo
Planespotting with SDR

Plane spotting with software-defined radio (SDR), CrateDB, and Node.js.

Import data from the FlightAware API, then query the latest data for active transmitting planes that has been updated within the last 2 minutes.

https://github.com/crate/devrel-plane-spotting-with-cratedb
GTFS / GTFS-RT transit data

Store and analyze transit networks using a a Python/JavaScript/Leaflet application and CrateDB.

Store and analyze data about transit system routes, trips, stops, and vehicle movements, based on GTFS and GTFS‑RT data (General Transit Feed Specification).

https://github.com/crate/devrel-gtfs-transit
Hybrid-search PDF chatbot

A natural language chatbot powered by CrateDB using RAG techniques and data from PDF files.

Source data and knowledge are extracted from text and images inside PDF documents, then stored in CrateDB as plain text with a full‑text index and vector embeddings. Users can ask questions of the knowledge base using natural language.

https://github.com/crate/devrel-pdf-rag-chatbot

Community

Store and analyze massive amounts of synoptic weather data

Wetterdienst uses CrateDB for mass storage of weather data, allowing you to query it efficiently. It provides access to data at more than ten canonical sources of raw weather data from domestic weather agencies.

What’s inside:

Earth observations Metadata Sensor data Time series

pandas Polars SQL

https://wetterdienst.readthedocs.io/en/latest/usage/python-api.html#export