Gartner Research

Building a Data and Analytics Architecture Using Azure


Azure continues to innovate, evolve and mature to meet demanding cloud deployment needs. Data and analytics technical professionals wanting to use Azure should assess its expanding capabilities to select the right blend of products to build end-to-end data management and analytics architectures.

Published: 09 June 2020

ID: G00451419

Analyst(s): Sanjeev Mohan

Table Of Contents


  • Ingestion
    • Azure Data Factory
    • Azure Event Hubs and Azure IoT Hub
  • Data Integration and Transformation
    • Azure Data Factory
    • Azure Databricks
    • Azure HDInsight
  • Data Persistence
    • Azure Data Lake Store Gen2
    • Common Data Model
    • SQL Server/Azure SQL Database
    • Azure Database for MySQL, PostgreSQL and MariaDB
    • Azure Synapse Analytics (Formerly Azure SQL Data Warehouse)
    • Azure Data Explorer
    • Azure Cosmos DB
    • Azure Cache for Redis
  • Data Migration
  • Analytics
    • Power BI
    • Azure Stream Analytics
    • Azure Analysis Services
    • Azure Data Lake Analytics
    • Azure Data Share
  • Advanced Analytics
  • Data Governance
  • Strengths
  • Weaknesses


The Details

  • Modern Data Warehouse
  • Real-Time Analytics
  • Internet of Things

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