Azure Synapse to Microsoft Fabric Migration Services
Experience a structured, low-risk migration from Azure Synapse to Microsoft Fabric, designed for scale and AI adoption.
Talk to our expertsIs your Synapse data holding back AI workloads?
AI needs unified, governed data to perform. Fabric provides an AI-ready foundation with native Microsoft integrations, and our migration framework ensures your estate is optimized for AI from day one.
Struggling with slow or batch-heavy Synapse pipelines?
Synapse pipelines often lag with real-time demands. Fabric's Real-Time Intelligence delivers instant insights, while we redesign workloads to enable always-on, low-latency analytics.
Finding it hard to control costs and licensing?
Separate Synapse, Power BI, and storage licenses drive complexity and TCO. Fabric consolidates them under one license with OneLake, and our migration approach brings cost predictability and simpler management.
Why move from Azure Synapse Analytics to Microsoft Fabric?
For Azure users, Fabric is the natural evolution of Synapse—bringing pipelines, storage, reporting, and AI into one SaaS platform.
Data Teams: Eliminate tool sprawl by unifying pipelines, storage, and reporting in Fabric.
IT & Infrastructure Leaders: Modernize while retaining Azure networks, VMs, and security.
Enterprise Architects: Connect Synapse, Data Lake, and hybrid systems with governance.
Lower Total Cost of Ownership: Optimize costs with a consumption-based model that aligns compute and storage expenses to actual usage.
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Our Services
With LevelShift, your Azure Synapse Analytics to Microsoft Fabric migration journey is structured, secure, and built for long-term success.
Data Unification and Pipeline Modernization
- Re-engineer Synapse and Data Factory workloads to run natively on Fabric
- Unify Synapse-linked Data Lake assets in OneLake using Fabric shortcuts
- Minimize disruption, eliminate duplication, and enable centralized data access
Real-Time Analytics Enablement
- Enable real-time insights using Fabric Eventstream and Reflex
- Integrate Event Hubs, IoT streams, and Azure event sources
- Support low-latency decision-making on a scalable, future-ready platform
AI/ML Integration and Innovation
- Operationalize AI, ML, and advanced analytics within Fabric’s unified stack
- Provide governed, real-time data access for data scientists and developers
- Build AI-ready pipelines aligned to existing Synapse workloads
Licensing Consolidation and Cost Optimization
- Consolidate multiple Azure services into capacity-based F SKUs
- Simplify licensing management with centralized usage and billing
- Improve cost visibility while optimizing performance across workloads
Governance, Security, and Compliance
- Align Synapse governance, Purview policies, and security controls
- Maintain end-to-end lineage, role-based access, and compliance
- Modernize data platforms without compromising enterprise security
Our 5-Step Azure Synapse to Fabric Modernization Framework
Our proven migration framework ensures a seamless, structured transition to Microsoft Fabric, minimizing risk and maximizing value. We identify modernization opportunities, migration candidates, and architecture gaps.
Migrating from Azure Synapse to Fabric: A Real-World Success Story
For a leading petroleum company, fragmented Synapse systems delayed insights and decisions. We migrated a year's data to Microsoft Fabric, delivering a unified, governed, and scalable analytics environment.
Read the full storyAccelerated insights
Marketing teams now access and analyze data faster, driving smarter decisions.
Scalable, repeatable model
Automated deployments and workspace provisioning support expansion across business units.
Trusted data governance
Embedded controls ensure compliance, accuracy, and reliable reporting.
Why LevelShift
- Microsoft Solution Partner and Fabric Featured Featured Partner
- Azure Specialized Partner for Data Analytics and Data Warehouse Migration
- Proven industry frameworks, migration accelerators, and Copilot agents built for retail, convenience, fuel, and energy operations
- Delivered enterprise-scale data modernization initiatives across retail, convenience chains, fuel retailers, and oil and gas organizations
FAQs
- Fragmented Workloads:Workloads split across SQL pools, Spark, Data Factory, and external storage make it difficult to consolidate into Fabric's unified SaaS environment.
- Pipeline Re-Engineering:Existing ADF pipelines, triggers, and linked services often need re-design to fit Fabric Data Factory's orchestration model.
- Storage and OneLake Alignment: Migrating from Synapse dedicated pools and ADLS into OneLake requires rationalization to avoid duplication, latency, or data loss.
- Security and Access Re-Mapping:Role-based access, credentials, and security policies in Synapse don't directly transfer, creating governance gaps if not re-established in Fabric.
- Query and Performance Tuning:Partitioning, indexing, and materialized views optimized in Synapse may not carry over, demanding tuning for Fabric's lakehouse model.
- Operational Continuity & BI Dependencies: Coexistence of Synapse and Fabric during migration demands tight synchronization to avoid downtime, while Power BI datasets must be remapped to preserve lineage and reporting.