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2024 | OriginalPaper | Buchkapitel

7. Polyglotte Persistenz im Datenmanagement

verfasst von : Felix Gessert, Wolfram Wingerath, Norbert Ritter

Erschienen in: Schnelles und skalierbares Cloud-Datenmanagement

Verlag: Springer International Publishing

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Zusammenfassung

Da Anwendungen immer datengetriebener und stark verteilt werden, wird es im Rahmen eines einzigen Datenbanksystems immer herausfordernder, immer mehr Benutzern niedrige Antwortzeiten zu bieten. Nicht nur die Vielfalt der Anwendungsfälle nimmt zu, sondern auch die Anforderungen werden heterogener: horizontale Skalierbarkeit, Schemaflexibilität und hohe Verfügbarkeit sind primäre Anliegen für moderne Anwendungen. Während RDBMS viele der funktionalen Anforderungen abdecken (z. B. ACID-Transaktionen und ausdrucksstarke Abfragen), können sie Skalierbarkeit, Leistung und Fehlertoleranz nicht auf die gleiche Weise abdecken wie spezialisierte Datenspeicher. Das explosive Wachstum verfügbarer Systeme durch die Big Data und NoSQL Bewegung hat die Idee entfacht, besonders gut geeignete Datenbanksysteme für Teilprobleme der Gesamtanwendung einzusetzen.

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Vorheriges Kapitel Transaktionale Semantik für global verteilte Anwendungen

Nächstes Kapitel Die NoSQL-Toolbox: Die NoSQL-Landschaft im Überblick

Historisch gesehen gibt es einen anderen Ansatz namens Poll-and-Diff, der auf periodischer Abfrageausführung zur Entdeckung von Ergebnisänderungen basiert. Allerdings skaliert Poll-and-Diff nicht mit der Anzahl der Echtzeit-Abfrage-Abonnenten.

Baqend: https://www.baqend.com.

Für eine ausführliche Diskussion des Standes der Technik in Echtzeit-Datenbanken verweisen wir auf [WRG19].

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Titel: Polyglotte Persistenz im Datenmanagement
verfasst von: Felix Gessert
Wolfram Wingerath
Norbert Ritter
Verlag: Springer International Publishing
Buch: Schnelles und skalierbares Cloud-Datenmanagement
Print ISBN: 978-3-031-54387-6

Electronic ISBN: 978-3-031-54388-3

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-54388-3_7

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