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AutorenWolfram Wingerath, Felix Gessert, Norbert Ritter
TitelTwoogle: Searching Twitter With MongoDB Queries
Publiziert inDatenbanksysteme für Business, Technologie und Web (BTW), 18. Fachtagung des GI-Fachbereichs Datenbanken und Informationssysteme (DBIS), Rostock, Germany, Proceedings
DatumMärz 2019
ZusammenfassungModern real-time databases follow the same collection-based querying semantics as traditional database systems. Targeting interactive workloads, real-time databases do not only deliver a query's result upon request, but also produce a continuous stream of informational updates thereafter. In theory, building interactive, reactive, or collaborative applications should thus be simple with collection-based real-time queries as they bridge the gap between traditional database queries over static collections and continuous queries over dynamic data streams. In practice, though, building real-time applications is still considered challenging, since most real-time databases today provide only poor scalability, confusing interfaces for real-time data access, and reduced query expressiveness in comparison to their pull-based counterparts. In this demo, we illustrate that scalability, query expressiveness, and simplicity can go hand-in-hand for modern real-time databases. To this end, we present the social media search app Twoogle which is built on top of Baqend's real-time query API.
Andere Formate Din 1501
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IFB Hamburg
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Scalable Push-Based Real-Time Queries on Top of Pull-Based Databases