Skip to main content
SpringerLink
Log in

Real-Time & Stream Data Management

Push-Based Data in Research & Practice

  • Book
  • © 2019

Overview

Authors:
  1. Wolfram Wingerath

    1. Baqend GmbH, Hamburg, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Norbert Ritter

    1. University of Hamburg, Hamburg, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Felix Gessert

    1. Baqend GmbH, Hamburg, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. An Introduction to Real-Time Data Management

    • Wolfram Wingerath, Norbert Ritter, Felix Gessert
    Pages 1-8

  3. Database Management

    • Wolfram Wingerath, Norbert Ritter, Felix Gessert
    Pages 9-19

  4. Real-Time Databases

    • Wolfram Wingerath, Norbert Ritter, Felix Gessert
    Pages 21-41

  5. Data Stream Management

    • Wolfram Wingerath, Norbert Ritter, Felix Gessert
    Pages 43-55

  6. General-Purpose Stream Processing

    • Wolfram Wingerath, Norbert Ritter, Felix Gessert
    Pages 57-74

  7. State of the Art and Future Directions

    • Wolfram Wingerath, Norbert Ritter, Felix Gessert
    Pages 75-77
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Baqend GmbH, Hamburg, Germany

    Wolfram Wingerath, Felix Gessert

  • University of Hamburg, Hamburg, Germany

    Norbert Ritter

Bibliographic Information

  • Book Title: Real-Time & Stream Data Management

  • Book Subtitle: Push-Based Data in Research & Practice

  • Authors: Wolfram Wingerath, Norbert Ritter, Felix Gessert

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-10555-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-10554-9Published: 14 January 2019

  • eBook ISBN: 978-3-030-10555-6Published: 02 January 2019

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: IX, 77

  • Number of Illustrations: 9 b/w illustrations, 6 illustrations in colour

  • Topics: Information Storage and Retrieval, Database Management, Data Structures

Publish with us

Policies and ethics

Back to top

Search

Navigation