Twoogle: Searching Twitter With MongoDB Queries
| dc.contributor.author | Wingerath, Wolfram | |
| dc.contributor.author | Gessert, Felix | |
| dc.contributor.author | Ritter, Norbert | |
| dc.contributor.editor | Grust, Torsten | |
| dc.contributor.editor | Naumann, Felix | |
| dc.contributor.editor | Böhm, Alexander | |
| dc.contributor.editor | Lehner, Wolfgang | |
| dc.contributor.editor | Härder, Theo | |
| dc.contributor.editor | Rahm, Erhard | |
| dc.contributor.editor | Heuer, Andreas | |
| dc.contributor.editor | Klettke, Meike | |
| dc.contributor.editor | Meyer, Holger | |
| dc.date.accessioned | 2019-04-11T07:21:30Z | |
| dc.date.available | 2019-04-11T07:21:30Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | 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. | en |
| dc.identifier.doi | 10.18420/btw2019-37 | |
| dc.identifier.isbn | 978-3-88579-683-1 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/21723 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | BTW 2019 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) – Proceedings, Volume P-289 | |
| dc.subject | Real-Time Databases | |
| dc.subject | NoSQL | |
| dc.subject | Scalability | |
| dc.subject | Query Expressiveness | |
| dc.subject | Real-Time Queries | |
| dc.subject | Push-Based Data Access | |
| dc.subject | Self-Maintaining Queries | |
| dc.subject | Event Stream Queries | |
| dc.subject | Search | |
| dc.title | Twoogle: Searching Twitter With MongoDB Queries | en |
| gi.citation.endPage | 527 | |
| gi.citation.startPage | 523 | |
| gi.conference.date | 4.-8. März 2019 | |
| gi.conference.location | Rostock | |
| gi.conference.sessiontitle | Demonstrationen |
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