Gartner Research

Comparing Cloud Data Warehouses: Amazon Redshift and Microsoft Azure SQL Data Warehouse, 2019 Update

Published: 11 June 2019


Data warehouses evolved from specialized on-premises systems into simpler, but highly scalable, data appliances, then into the cloud. Data and analytics technical professionals will find the cloud variants suitable for most organizations. We evaluate cloud-based warehouses from Amazon and Microsoft.

Included in Full Research

  • Management of Large Volumes of Data
    • Amazon Redshift Support for Large Volumes
    • Microsoft Azure SQL Data Warehouse
  • Continuous Data Loading
    • Amazon Redshift and Continuous Loading
    • Microsoft Azure SQL Data Warehouse and Continuous Loading
  • Support for Queries on Multiple Data Types and Sources
    • Amazon Redshift and Data Type Support
    • Microsoft Azure SQL Data Warehouse and Data Type Support
  • Support for Advanced Analytics Queries
    • Amazon Redshift Support for Advanced Analytics
    • Microsoft Azure SQL Data Warehouse Support for Advanced Analytics
  • Support for Unstructured Data
    • Amazon Redshift and Unstructured Data
    • Microsoft Azure SQL Data Warehouse and Unstructured Data
  • Support for Operational and Real-Time BI Queries
    • Amazon Redshift and Operational and Real-Time BI Queries
    • Microsoft Azure SQL Data Warehouse and Operational and Real-Time BI Queries
  • System Availability
    • Amazon Redshift System Availability
    • Microsoft Azure SQL Data Warehouse System Availability
  • Support for Users of Differing Types and Skills
    • Amazon Redshift Support for Users of Differing Types and Skills
    • Microsoft Azure SQL Data Warehouse Support for Users of Differing Types and Skills
  • Administration and Management
    • Amazon Redshift Administration and Management
    • Microsoft Azure SQL Data Warehouse Administration and Management
  • Use-Case Suitability
    • Traditional Data Warehouse
    • Operational and Real-Time Data Warehouse
    • Context-Independent Data Warehouse
    • Logical Data Warehouse
  • Features and Capabilities
    • General Remarks
    • Support for SQL and Development
    • Amazon Redshift Features and Capabilities
    • Microsoft Azure SQL Data Warehouse Features and Capabilities

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