Benefits of Migrating from Azure Synapse Analytics to Microsoft Fabric

Many customers ask me about the advantages of moving from Azure Synapse Analytics to Microsoft Fabric. Here’s a breakdown of the standout features that make Fabric an appealing choice:

  • Unified Environment for All Users
    Fabric serves everyone—from report writers and citizen developers to IT engineers—unlike Synapse, which primarily targets IT professionals.
  • Hands-Free Optimization
    Fabric is auto-optimized and fully integrated, allowing most features to perform well without requiring technical adjustments.
  • Simplified Data Storage with OneLake and Shortcuts
    OneLake and shortcuts make data storage and access straightforward, enhancing data management efficiency.
  • Open-Source Delta Lake Compatibility
    Fabric stores all data in open-source Delta Lake format, enabling easy integration with Databricks and other analytics platforms.
  • SaaS Architecture for Ease of Use
    As a Software-as-a-Service (SaaS) platform, Fabric simplifies development and maintenance, unlike the more hands-on Synapse.
  • Enhanced Cost Control through Fabric capacities
    Fabric’s capacity-based pricing model provides straightforward cost management.
  • Scalability from Small to Enterprise Solutions
    Migrating a small Fabric solution to an enterprise-scale solution is seamless and efficient.
  • Direct Lake for Faster Query Performance
    Direct Lake enhances query performance and speeds up reporting.
  • Unified Compute with Capacity Pooling
    Fabric’s “universal bucket of compute” allows all products to share the same capacity, instead of each having individual compute, simplifying resource management.
  • Universal Security (Available Q4 2024)
    Fabric’s upcoming OneSecurity, or “universal security,” will provide centralized security across datasets.
  • Integrated Copilot for Enhanced Development
    Copilot integration aids in development and data insights, making it easier to analyze and understand data.
  • Seamless Data Sharing Across Workspaces
    Data can be easily shared between workspaces for improved collaboration.
  • Multi-Cluster Compute
    Fabric supports multiple capacities accessing the same data, similar to “multi-cluster compute” or “multi-cluster warehousing”, optimizing concurrency.
  • Cost Savings Compared to Dedicated SQL Pools
    Fabric offers a more cost-effective solution than dedicated SQL pools.

Cost-Saving Insights with Microsoft Fabric

Additionally, here are indirect ways customers are saving costs with Fabric compared to Synapse:

  • Consolidated Technology Stack
    A single platform for IT and citizen developers (no separate learning curves for Synapse and Power BI).
  • Reduced DBA Needs
    Auto-optimization and integration lessen the demand for dedicated database administration.
  • Storage and Egress Cost Savings
    OneLake shortcuts reduce storage and egress charges, and simplify ETL development.
  • Delta Lake Storage for Flexible Use
    Data stored in Delta Lake format is accessible outside Fabric, providing greater flexibility.
  • SaaS Benefits
    The SaaS model reduces development overhead and streamlines updates.
  • Unified Compute with Capacity Pooling
    Shared compute across capacities reduces costs by eliminating individual compute allocations per service.
  • Copilot Acceleration
    Copilot speeds up development, reducing time-to-insight.

About the Author:

James Serra

EPPC Speakers
James works at Microsoft as a big data and data warehousing solution architect where he has been for most of the last ten years.  Before that he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 35 years of IT experience. Check out his book Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Reference:

Serra, J (2024). Benefits of Migrating from Azure Synapse Analytics to Microsoft Fabric. Available at: Benefits of Migrating from Azure Synapse Analytics to Microsoft Fabric | James Serra’s Blog [Accessed: 11th December 2024].

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