TrustRadius: an HG Insights company

Apache Spark Streaming

Score8.7 out of 10

7 Reviews and Ratings

Features

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

  • Data Enrichment

    Ability to enrich the data stream with static reference data

    Category average: 7.7

Streaming Analytics

Streaming Analytics is performing analytic computations on streaming data. Data streams can come from devices, sensors, websites, social media, applications, infrastructure systems, and more.

  • Real-Time Data Analysis

    Ability to analyze data in motion

    Category average: 8.5

  • 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

  • Low Latency

    How many milli-seconds or seconds it takes to ingest, analyze and respond to an incoming event or data-point

    Category average: 8.4

  • 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

  • Machine Learning Automation

    Machine learning helps automate predictive scoring on streaming data

    Category average: 8.6

  • Data Enrichment

    Ability to enrich the data stream with static reference data

    Category average: 7.7