Gartner Research

Hyperscaling Streaming Analytics: Comparing Stream Analytics in the Cloud With Amazon, IBM and Microsoft

Published: 24 January 2019

ID: G00365934

Analyst(s): Carlton Sapp

Summary

Cloud streaming analytics continues to gain popularity due to the growing requirements for continuous intelligence and real-time data and analytic infrastructures. This research provides technical professionals with an assessment of cloud-based streaming analytics from Amazon, IBM and Microsoft.

Table Of Contents

Comparison

  • Stream Ingestion
  • Stream Processing

Analysis

  • The Verdict
  • The Rise of Cloud-Based SA Points to Greater Integration With Existing Analytic Architectures
  • Amazon Kinesis Streaming Services
    • Amazon Kinesis Data Streams: Ingestion
    • Amazon Kinesis Data Analytics: Processing
    • Cost Model and Pricing
    • Strengths
    • Weaknesses
  • IBM Cloud Streaming Services
    • IBM Event Streams (formerly IBM Message Hub): Ingestion
    • IBM Streaming Analytics: Processing
    • Cost Model and Pricing
    • Strengths
    • Weaknesses
  • Microsoft Azure Streaming Services
    • Azure Event Hubs: Ingestion
    • Azure Streaming Analytics: Processing
    • Cost Model and Pricing
    • Strengths
    • Weaknesses

Guidance

The Details

  • Use-Case Analysis

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