KNIME Performance Extensions

KNIME Big Data Extensions

KNIME® Big Data Extensions integrate the power of Apache Hadoop and Spark with the ease-of-use of KNIME Analytics Platform & KNIME Server. Our software takes the confusion out of big data by making it accessible within our familiar analytics environment.

KNIME Big Data Extensions consist of two complementary node libraries:

  • KNIME Big Data Connectors enable you to import/export HDFS data and perform SQL analytics within Hive and Impala.
  • KNIME Spark Executor enables you to create and run Spark applications from within KNIME Analytics Platform or KNIME Server, unleashing the power of scalable analytics. Read/write data in HDFS, Hive, and Impala from within Spark.

The workflow shown in this video is located on the EXAMPLES server under: 50_Applications/28_Predicting_Departure_Delays/02_Scaling_Analytics_w_BigData50_Applications/28_Predicting_Departure_Delays/02_Scaling_Analytics_w_BigData*

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Unleash the Power of Hadoop

Migrating your analytics to big data has now been reduced to swapping a few nodes in existing workflows. KNIME Big Data Extensions bring you into the Hadoop ecosystem with support for enterprise-grade, industry-leading Hadoop distributions.

Query Hive data and apply advanced analytics in Apache Spark within a single, visual KNIME workflow, making Hadoop accessible without coding.

A Powerful Combination

KNIME Big Data Extensions bring a familiar, easy-to-use graphical approach to big data problems.

These libraries blend the power of KNIME Analytics Platform with Hadoop to expand the advantages of both:

  • SQL-style big data querying
  • Sophisticated data mining
  • Advanced predictive analytics
  • In-memory processing
  • Extensive additional functionality

Advanced Features

  • Effortlessly connect to popular Hadoop distributions
  • Seamlessly integrate Apache Spark with >1000 native KNIME nodes using familiar KNIME workflows
  • Mix & match remote and distributed computing as needed
  • MLlib integration enables a popular suite of machine learning algorithms
  • Import predictive models into Spark with PMML models generated from KNIME workflows


    KNIME Cluster Executor

    KNIME Cluster Executor provides a slim connection layer between KNIME Analytics Platform and your high-performance computing cluster, allowing every node and application integrated in a KNIME workflow to be distributed across the cluster.


    * The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher)