Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Big Stream Systems

  • Nathan BackmanEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_80702


Continuous workflow execution frameworks; Distributed stream processing


Big stream systems aim to bring the scalability of batch processing frameworks to stream applications. Stream processing systems have different constraints than batch processing systems as well as a different set of challenges. The unbounded and potentially high-volume nature of streams require stream applications to execute continuously and to limit the role of disk-based storage. The throughput of high-volume streams can exceed the throughput of disks, and the stream data may not have any lasting value beyond the meaning that can be extracted from them. Big stream systems address the challenge of achieving high scalability in stream processing by (1) keeping data moving and off of disks, (2) implementing fault-tolerant strategies to allow stream data to persist in the event of faults, and (3) spreading computational workloads across many nodes while preserving the integrity and order of the...

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Recommended Reading

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Computer ScienceBuena Vista UniversityStorm LakeUSA

Section editors and affiliations

  • Ugur Cetintemel
    • 1
  1. 1.Department of Computer ScienceBrown UniversityProvidenceUSA