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Streaming Application Development

Developing analytic applications for data processing, exploration, and visualization should be as fast and easy as possible. Spend your time writing code, not building pipelines.


Integrating new technologies can slow streaming application development without imparting useful skills. It’s also known that complex data warehousing and streaming architectures tend to make debugging difficult, limit scalability for exploration, and can often demand separate languages.

Challenges include: 

  1. Building and troubleshooting complex architectures and integrating new tech
  2. Scalability issues
  3. Too many one-off specialized skills and tools


The Kinetica Streaming Data Warehouse supports big data analysis and visualization by delivering massive scale ability and incorporating machine learning, geospatial visualization, graph data structures, and real-time analytics in a unified platform which offers full support, REST API integration and SQL query capabilities so developers can leverage their tools of choice to to build data rich apps quicker.

Benefits include: 

  1. Incorporates machine learning, graph data structures,and real-time geospatial analytics in a single platform.
  2. Massive scale
  3. Standard tools including SQL, REST APIs, and full support

Ready to find out more?