Which language is better for Spark & Why?

This page summarizes the projects mentioned and recommended in the original post on /r/apachespark
MapReduce Pyspark Python jaro-winkler Scala

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  • Apache Spark

    Apache Spark - A unified analytics engine for large-scale data processing

    • Still has more functionality than PySpark (e.g. CandarIntervalType). I am trying to help get CalendarIntervalType merged with PySpark.

  • ceja

    PySpark phonetic and string matching algorithms (by MrPowers)

    • Some Python libraries are easily wrapped via UDFs, see ceja, but don't overestimate this benefit. Most Python libraries cannot be wrapped and run via Spark in a performant manner.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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