Gartner Research

Hyperscaling Analytics: Comparing Streaming Analytics in the Cloud With AWS, Microsoft Azure and IBM

Published: 29 November 2016

ID: G00310019

Analyst(s): Carlton Sapp

Summary

Cloud-based streaming analytics is a conduit to analyzing high-velocity data and offers technical professionals an easier path to implement and advance real-time data infrastructures. Technical professionals should compare cloud-based analytic services from Amazon, Microsoft and IBM Bluemix.

Table Of Contents

Comparison

  • Stream Ingestion
  • Stream Processing

Analysis

  • Amazon Kinesis Streaming Services
    • Amazon Kinesis Streams: Ingestion
  • Availability
  • Scalability
  • Interoperability
  • Resiliency
    • Amazon Kinesis Analytics: Processing
  • Stream Processing Architecture
  • Query Processing Language
  • Delivery and Visualization
  • Advanced Analytics
    • Cost Model and Pricing
    • Strengths
    • Weaknesses
  • Microsoft Azure Streaming Services
    • Azure Event Hubs: Ingestion
  • Availability
  • Scalability
  • Interoperability
  • Resiliency
    • Azure Streaming Analytics: Processing
  • Stream Processing Architecture
  • Query Processing Language
  • Delivery and Visualization
  • Advanced Analytics
    • Cost Model and Pricing
    • Strengths
    • Weaknesses
  • IBM Bluemix Streaming Services
    • IBM Message Hub: Ingestion
  • Availability
  • Scalability
  • Interoperability
  • Resiliency
    • IBM Streaming Analytics: Processing
    • Stream Processing Architecture
    • Query Processing Language
  • Delivery and Visualization
  • Advanced Analytics
    • Cost Model and Pricing
    • Strengths
    • Weaknesses

Guidance

Details

  • Use-Case Analysis

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