The CrateDB Guide

Guides and tutorials about how to use CrateDB and CrateDB Cloud in practice.

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Installation

Installing CrateDB
Getting Started

Getting started with CrateDB
Administration

CrateDB Administration
Performance Guides

CrateDB Performance Guides

Application Domains

Learn how to apply CrateDB’s features to optimally cover use-cases in different application and topic domains.

Document Store

Storing JSON documents using CrateDB’s `OBJECT` data type
Full-Text Search

About CrateDB’s full-text search capabilities
Industrial Data

CrateDB in industrial / IIoT / Industry 4.0 scenarios
Time Series Data

Managing Time Series Data with CrateDB
Machine Learning

Machine Learning with CrateDB

Integrations

Learn how to use CrateDB with 3rd-party software applications, libraries, and frameworks.

ETL

Load and export data into/from CrateDB
Metrics

CrateDB with metrics collection agents, brokers, and stores
Data Visualization

Data visualization with CrateDB
Business Intelligence

Analyse information with CrateDB
Machine Learning

Machine Learning with CrateDB
Software Testing

Software testing with CrateDB

Reference Architectures

Reference architectures illustrating how CrateDB can be used in a variety of use-cases.

Reference Architectures

Reference Architectures with CrateDB

Tip

Please also visit the Overview of CrateDB integration tutorials.

See also

CrateDB and its documentation are open source projects. Contributions to the pages in this section and subsections are much appreciated. If you can spot a flaw, or would like to contribute additional content, you are most welcome.

You will find corresponding links within the topmost right navigation element on each page, linking to the relevant page where this project is hosted on GitHub.