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Event Processing

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Event processing
is the generic term that subsumes both event stream processing (ESP) and complex event processing (CEP). Event processing engines are used to support
operational business intelligence and automated and semi-automated decision
making where latency needs to be minimised; in other words, where there are
genuinely “real-time” needs. Such requirements occur in capital markets, fraud
detection and prevention, network management of various types from railways to
pipelines, business activity monitoring, telecommunications tariff look-up,
point-of-sale optimisation and many others.

Although the
initial development of event processing engines started as long ago as the late
‘90s, and the first products emerged early in this century, it is only now that
event processing is really starting to take off. However, in so far as vendors
and products are concerned, we find there are:

  • a variety of different approaches that
    are used
  • no consistency as to the languages
    that may be deployed for development purposes
  • wild and misleading claims made about
  • differences between products aimed at
    business analysts versus developers
  • different technologies used for event
  • issues over the consistency of results
    • to name but a few of the unresolved
      issues in event processing.

Worse, there are
general-purpose products and niche products, and products that only do event
stream processing or complex event processing. There are also vendors that only
focus on certain market areas who might expand into other areas in due course.

This Bloor
Research report describes the technology and what it is good for, including
providing a series of use cases. In other words: what event processing is, how it
works and where you might use it. It also describes and resolves (in so far as
that is possible) the issues mentioned. In addition, the report compares and
contrasts the various vendors/products in the market, including: Agent Logic,
AleriLabs, AptSoft, Coral8, GemStone, Leanway, Kaskad, Progress, SeeWhy,
Streambase, Syndera, Tibco and the open source Esper. It also considers specialised
solutions from the likes of Microsoft, SAS and Sybase as these vendors seek to
move into this marketplace.

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