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Document created by Diogo Belem on Aug 14, 2017Last modified by Diogo Belem on Sep 11, 2017
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Complete Spark Support:

Adaptive Execution on Big Data:

Pentaho is the only vendor to support Spark with all data integration steps in a visual drag-and-drop environment. Unlike other vendors who require users to build Spark-specific data integration logic – and often require Java development skills – with Pentaho you only need to design your logic once, regardless of execution engine.Transitioning from one engine for big data processing to another often means users need to re-write and debug their data integration logic for each engine, which takes time. Pentaho’s adaptive execution allows users to match workloads with the most appropriate processing engine, without having to re-write any data integration logic.

Integrate 3rd Party Visualizations:

Adaptive Execution on Big Data:

Leverage an easy to use and flexible API with full documentation to integrate visualizations from third party libraries such as D3 or FusionCharts.Transitioning from one engine for big data processing to another often means users need to re-write and debug their data integration logic for each engine, which takes time. Pentaho’s adaptive execution allows users to match workloads with the most appropriate processing engine, without having to re-write any data integration logic.

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