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Pros of Kubeflow
Pros of Apache Spark
Cons of Kubeflow
Cons of Apache Spark
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    What is Kubeflow?

    The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

    What is Apache Spark?

    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    What companies use Kubeflow?
    What companies use Apache Spark?
    What tools integrate with Kubeflow?
    What tools integrate with Apache Spark?
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