Streaming data platforms are taking the data industry by storm. As with many technology areas, the number of available options is daunting, and making the right bet can make or break your real-time project. Common challenges with adopting streaming platforms include:
  • Simplifying and accelerating the process for building dataflow pipelines
  • Supporting hybrid architectures that are a mix of many different data systems deployed across cloud, on-premises and edge
  • Deploying streaming data pipelines at scale
  • Providing visibility into data in motion
Learn what Gartner analysts say about the challenges to stream processing in the Market Guide for Event Stream Processing.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 
Gartner: Market Guide for Event Steam Processing, Nick Heudecker, W. Roy Schulte, 9 May 2017.

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