Gartner Research

Comparing Cloud Data Warehouses: Amazon Redshift and Microsoft Azure SQL Data Warehouse

Published: 08 November 2016

ID: G00309107

Analyst(s): Henry Cook


Data warehouses evolved from specialized on-premises systems into simpler, but highly scalable, data appliances. Now they enter a new frontier — the cloud. This assessment evaluates cloud-based warehouses from Amazon and Microsoft to help technical professionals assess viability and suitability.

Table Of Contents



  • Manage Large Volumes of Data
    • Shared Nothing/MPP
    • Linear Scaling
    • Data Location and Skewing
    • Amazon Redshift Support for Large Volumes
    • Microsoft Azure SQL Data Warehouse
  • Loading Data Continuously
    • Attaching Partitions
    • Multiversion Concurrency Control
    • Amazon Redshift and Continuous Loading
    • Microsoft Azure SQL Data Warehouse and Continuous Loading
  • Other Data Types Beyond Structured
    • Amazon Redshift and Data Types Beyond Structured
    • Microsoft Azure SQL Data Warehouse and Data Types Beyond Structured
  • Repetitive Queries
    • Workload Management
    • Indexing, Partition Elimination and Zone Maps
    • Caching Optimization and Efficient Query Planning
    • Amazon Redshift Support for Repetitive Queries
    • Microsoft Azure SQL Data Warehouse Support for Repetitive Queries
  • Queries Support Advanced Analytics
    • Amazon Redshift Support for Advanced Analytics
    • Microsoft Azure SQL Data Warehouse Support for Advanced Analytics
  • Queries on Many Data Types/Sources
    • Amazon Redshift Many Data Types/Sources
    • Microsoft Azure SQL Data Warehouse Support for Many Data Types/Sources
  • Operational BI Queries
    • Amazon Redshift and Operational BI Queries
    • Microsoft Azure SQL Data Warehouse and Operational BI Queries
  • System Availability
    • Amazon Redshift System Availability
    • Microsoft Azure SQL Data Warehouse System Availability
  • User-Skill-Level Support
    • Amazon Redshift User-Type Support
    • Microsoft Azure SQL Data Warehouse User-Type Support
  • Administration and Management
    • Amazon Redshift Administration and Management
    • Microsoft Azure SQL Data Warehouse Admin and Management
  • Use Cases
    • Traditional Data Warehouse
    • Operational Data Warehouse
    • Context-Independent Data Warehouse
    • Logical Data Warehouse


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