TY  - BOOK
AU  - Wingerath,Wolfram
AU  - Ritter,Norbert
AU  - Gessert,Felix
TI  - Real-Time & Stream Data Management: Push-Based Data in Research & Practice 
T2  - SpringerBriefs in Computer Science,
SN  - 9783030105556
AV  - QA75.5-76.95 
U1  - 025.04 23
PY  - 2019///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Information storage and retrieval
KW  - Database management
KW  - Data structures (Computer science)
KW  - Information Storage and Retrieval
KW  - Database Management
KW  - Data Structures
N2  - While traditional databases excel at complex queries over historical data, they are inherently pull-based and therefore ill-equipped to push new information to clients. Systems for data stream management and processing, on the other hand, are natively push­oriented and thus facilitate reactive behavior. However, they do not retain data indefinitely and are therefore not able to answer historical queries. The book provides an overview over the different (push-based) mechanisms for data retrieval in each system class and the semantic differences between them. It also provides a comprehensive overview over the current state of the art in real-time databases. It sfirst includes an in-depth system survey of today's real-time databases: Firebase, Meteor, RethinkDB, Parse, Baqend, and others. Second, the high-level classification scheme illustrated above provides a gentle introduction into the system space of data management: Abstracting from the extreme system diversity in this field, it helps readers build a mental model of the available options
UR  - https://doi.org/10.1007/978-3-030-10555-6
ER  -