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domain	migratesynapse.com
summary	Here’s a summary of the website content, focusing on the key information and options presented: Overall The website outlines a migration strategy from Azure Synapse Analytics to three primary platforms: Microsoft Fabric, Snowflake, and Databricks Lakehouse. It emphasizes a phased approach with estimated timelines and investment ranges for each platform. The goal is to modernize data infrastructure, leverage AI/ML capabilities, and improve data governance. The migration is presented as a choice based on specific needs, with detailed guidance for each platform. Key Platforms & Their Strengths: * Microsoft Fabric: Best for BI, Unified Microsoft Ecosystem, and users familiar with Microsoft tools. Offers an all-in-one SaaS platform for ingestion to insight with low-code/no-code capabilities. (Timeline: 4-6 months, Investment: $300K - $800K) * Snowflake: Best for multi-cloud deployments, cost optimization, and operating across AWS, Azure, and GCP. Offers a high-concurrency architecture and support for open data formats. (Timeline: 4-7 months, Investment: $300K - $900K) * Databricks Lakehouse: Focuses on data engineering, ML/AI, and a unified data governance model using Unity Catalog. (Timeline: 5-8 months, Investment: $400K - $1.2M) Migration Phases (Common to all platforms): 1. Discovery & Architecture Design: Audit existing Synapse workloads, design target architecture (often medallion pattern), and define governance. 2. Environment Setup: Deploy the chosen platform, configure governance tools (Unity Catalog, etc.), and establish DevOps workflows. 3. Pilot Migration: Migrate a small number of non-critical workloads for testing and validation. 4. Production Migration Waves: Implement a phased migration of production workloads, allowing for parallel running and validation. 5. BI Analytics Migration: Migrate Power BI reports and dashboards to the new platform. 6. Cutover & Optimization: Final production cutover, decommissioning Synapse, and ongoing performance tuning. Key Features & Technologies: * OneLake: Unified data storage and governance (primarily for Fabric). * Unity Catalog: Centralized governance and access control (primarily for Databricks Lakehouse and Fabric). * Snowpark: Enables running data workloads on different compute platforms. * Delta Lake: A storage layer that brings reliability to data lakes. * Azure Stream Analytics: Real-time data processing with sub-second latency. * Multi-Cloud Support: Snowflake and Databricks Lakehouse support AWS and GCP alongside Azure. Important Considerations: * Investment Ranges: The estimated investment is provided for each platform and is a broad range. * Timeline Estimates: These timelines are estimates and can vary based on the complexity of the migration. * Choose the Right Platform: The website stresses the importance of selecting the platform that best aligns with your specific requirements, workloads, and strategic direction. Do you want me to focus on a specific platform (e.g., Fabric, Snowflake, Databricks) or a particular aspect of the migration process (e.g., the environment setup phase)?
title	Azure Synapse Migration Services \| Elitmind Data Platform
description	Migrate from Azure Synapse to modern data platforms in 3-6 months. Microsoft Partner of Year expertise. Proven frameworks for enterprise-scale transitions.
keywords	data, fabric, migration, azure, synapse, snowflake, phase, duration, weeks, optimization, platform, performance, cost, architecture, integration, power, pipelines
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nslookup	A 198.202.211.1
created	2026-02-15
updated	2026-02-15
summarized	2026-02-16

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