Von Data Warehouse bis Data Mesh: Ein Wegweiser durch den Dschungel analytischer Datenarchitekturen
Torsten Priebe, Sebastian Neumaier, Stefan Markus

TL;DR
This paper provides a structured comparison of analytical data architectures like data warehouse, data lake, data lakehouse, and data mesh, helping to guide the selection of appropriate architecture based on use case.
Contribution
It systematically analyzes differences, similarities, and dependencies among various data architecture paradigms using DAMA-DMBOK and ArchiMate frameworks.
Findings
Identifies overlapping architectural components
Highlights key differences and similarities
Provides guidance for architecture selection
Abstract
Data warehouse, data lake, data lakehouse, data mesh ... many new names for analytical data architectures are currently circulating in the scene. But are the various approaches really so different? This article attempts a structured comparison of the different architecture paradigms, methodically based on DAMA-DMBOK and ArchiMate. Differences, similarities and dependencies as well as overlapping architectural building blocks are worked out and illustrated. This results in a first orientation guide for the choice of the right analytical data architecture for the respective use case. -- Data Warehouse, Data Lake, Date Lakehouse, Data Mesh ... in der Szene kursieren derzeit viele neue Namen f\"ur analytische Datenarchitekturen. Doch sind die diversen Ans\"atze wirklich so unterschiedlich? Dieser Beitrag versucht einen strukturierten Vergleich der verschiedenen Architekturparadigmen,…
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Taxonomy
TopicsData Quality and Management · Big Data and Business Intelligence · Advanced Database Systems and Queries
