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Apache Spark Streaming

Score8.7 out of 10

7 Reviews and Ratings

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What is Apache Spark Streaming?

Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.

Categories & Use Cases

Key Features

Learn about the best (and worst!) features Apache Spark Streaming has to offer, as determined by TrustRadius' reviewers.
Based on 7 ratings of Apache Spark Streaming's features
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Top Performing Features

  • Visualization Dashboards

    Easy-to-understand pictorial illustration of data with graphs charts and dashboards

    Category average: 8.9

  • Data Ingestion from Multiple Data Sources

    Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data

    Category average: 8.7

  • Machine Learning Automation

    Machine learning helps automate predictive scoring on streaming data

    Category average: 8.6

Areas for Improvement

  • Integrated Development Tools

    Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined functions and operators

    Category average: 7.5

  • Data wrangling and preparation

    Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.

    Category average: 7.8

  • Linear Scale-Out

    Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions

    Category average: 7.5