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Twoogle: Searching Twitter With MongoDB Queries

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2019

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Gesellschaft für Informatik, Bonn

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Modern 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.

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Wingerath, Wolfram; Gessert, Felix; Ritter, Norbert (2019): Twoogle: Searching Twitter With MongoDB Queries. BTW 2019. DOI: 10.18420/btw2019-37. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-683-1. pp. 523-527. Demonstrationen. Rostock. 4.-8. März 2019

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