Ballista: New approach for 2021

This page summarizes the projects mentioned and recommended in the original post on /r/rust

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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  • Apache Arrow

    Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

  • Apache Spark

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

  • Yes, I think to the extent that the open-source Spark has support for columnar data exchange. I think some/much of the work has been done in the last 2 years (see https://github.com/apache/spark/pull/24795/files), but I don't now to what extent one could completely build out the execution part in Spark 3.0 or 3.1.

  • 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.

    InfluxDB logo
  • spark-rapids

    Spark RAPIDS plugin - accelerate Apache Spark with GPUs

  • So, in my day job at NVIDIA, I work on the RAPIDS Accelerator for Apache Spark, which is an open-source plugin that provides GPU-acceleration for ETL workloads, leveraging the RAPIDS cuDF GPU DataFrame library.

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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