Skip to main content

Event Stream

  • 48 Accesses


Event pipe; Event network edge


An Event Stream is a collection of ordered events [4].

Key Points

An event stream is a collection of events, with one or more order relations. The naïve order relation is according to the time that the event arrives to the processing system, but this may not reflect the event order in reality [2], which may define an additional order relation. An event stream may be homogenous (all events have the same structure and type) or heterogeneous (include events that have different types). Homogenous streams are also known as Data-Type Streams. For practical usages, typically data-type streams are used. An edge in the event processing network, known as event pipe typically is a superset of event stream [5].

Sometimes event stream is used as a synonym to event pipe. This term has some relation to “data stream,” but it is not identical [1], and does not necessarily correspond to SQL implementation. A typical case of event stream is a...


  • Event Stream
  • Event Processing Network
  • Pipe Effect
  • Stream Data Type
  • Homogeneous Stream

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Recommended Reading

  1. Albers K, Bodmann F, Slomka F. Hierarchical event streams and event dependency graphs: a new computational model for embedded real-time systems. In: Proceedings of the 18th Euromicro Conference on Real-Time Systems; 2006. p. 97–106.

    Google Scholar 

  2. Barga RS, Goldstein J, Ali MH, Hong M. Consistent streaming through time: a vision for event stream processing. In: Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research; 2007. p. 363–74.

    Google Scholar 

  3. Li M, Liu M, Rundensteiner EA, Mani M. Event stream processing with out-of-order data arrival. In: Proceedings of the 1st International Workshop on Distributed Event Processing, Systems and Applications; 2007.

    Google Scholar 

  4. Luckham D, Schulte D, editors. EPTS event processing glossary version 1.1.

  5. Sharon G, Etzion O. Event processing network: model and implementation. IBM Syst J. 2008;47(2):321–34.

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Opher Etzion .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and Permissions

Copyright information

© 2016 Springer Science+Business Media New York

About this entry

Cite this entry

Etzion, O. (2016). Event Stream. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY.

Download citation

  • DOI:

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering