# RadegastXDB - Prototype of Native XML Database Management System: Technical Report

## TL;DR

This paper presents RadegastXDB, a native XML database system that incorporates twig pattern query detection to improve the efficiency of processing structural XQueries, outperforming existing XML DBMSs especially on large datasets.

## Contribution

Introduction of RadegastXDB, a prototype XML DBMS that integrates twig pattern query detection and advanced algorithms to enhance query processing performance.

## Key findings

- RadegastXDB outperforms current XML DBMSs on structural queries.
- State-of-the-art TPQ algorithms improve query speed on large datasets.
- Efficient processing of queries with value predicates using the proposed techniques.

## Abstract

A lot of advances in the processing of XML data have been proposed in last two decades. There were many approaches focused on the efficient processing of twig pattern queries (TPQ). However, including the TPQ into an XQuery compiler is not a straightforward task and current XML DBMSs process XQueries without any TPQ detection. In this paper, we demonstrate our prototype of a native XML DBMS called RadegastXDB that uses a TPQ detection to accelerate structural XQueries. Such a detection allows us to utilize state-of-the-art TPQ processing algorithms. Our experiments show that, for the structural queries, these algorithms and state-of-the-art XML indexing techniques make our prototype faster than all of the current XML DBMSs, especially for large data collections. We also show that using the same techniques is also efficient for the processing of queries with value predicates.