Services | Data & Analytics | Databricks to Fabric

Migrate AWS Databricks to Microsoft Fabric

Q: Will migrating from Databricks to Microsoft Fabric cause downtime?

A Microsoft Fabric migration should not disrupt day-to-day business operations when executed in planned waves. Workloads are migrated in prioritized groups, validated before cutover, and supported through go-live to reduce operational risk.

Q: How much does a Databricks to Microsoft Fabric migration cost?

The cost of a Databricks to Microsoft Fabric migration depends on the size, complexity, and number of workloads being migrated. A migration assessment is used to determine scope, effort, and project costs. Eligible organizations may also qualify for Microsoft funding programs that can offset a portion of the engagement cost.

Q: What happens to AWS and Databricks after migration to Microsoft Fabric?

After migration, organizations receive a decommissioning plan for their AWS and Databricks environment. This helps eliminate unnecessary infrastructure, reduce ongoing costs, and support a structured transition to Microsoft Fabric.

Q: Should every Databricks workload move to Microsoft Fabric?

Not every workload should move from Databricks to Microsoft Fabric. The migration assessment identifies which workloads are strong candidates for Fabric and which workloads may be better suited to remain on Databricks based on business and technical requirements.

Move notebooks, jobs, pipelines, and Delta-format data from AWS Databricks to Microsoft Fabric using a structured, wave-based migration approach.

Validate every workload before cutover and minimize disruption to day-to-day operations.

Book a scoping call

Start Your Migration with a 30-minute Scoping Call

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Trusted by Microsoft.

Here for you.

The Problem

You're paying for two platforms to do one job.

Organizations running Databricks on AWS often manage separate tools for data engineering, governance, analytics, security, and AI across multiple platforms.

Microsoft Fabric brings these capabilities together in a single Microsoft-native environment, helping reduce complexity and prepare for AI initiatives.

What you Get

Everything You Need to Move to Fabric

Migration Assessment & Roadmap

Inventory your Databricks workloads, analyze compatibility, establish a cost baseline, and build a prioritized migration plan.

Fabric Architecture Design

Define workspace structure, capacity sizing, security, and OneLake architecture.

Priority Workload Migration

Move notebooks, jobs, pipelines, and Delta datasets using Microsoft guidance and Quisitive accelerators.

Validation Before Cutover

Verify data, functionality, and performance before workloads go live

Governance & AI Readiness

Implement security, lineage, and access controls with Microsoft Purview and Fabric governance

Cutover & Knowledge Transfer

Receive runbooks, enablement, decommission planning, and post-go-live support

Book your scoping call

How the Migration Works

A Proven, Low-Risk Migration Approach

Phase 1

Assess & Plan

Map workloads, design the target architecture, and build the migration roadmap

Phase 2

Validate

Migrate an initial wave to confirm the approach before scaling

Phase 3

Migrate in Waves

Move workloads in prioritized phases with validation throughout

Phase 4

Launch & Enable

Complete cutover, transfer knowledge, and support your team through go-live

Book your scoping call

The Outcomes

What Changes After Migration to Microsoft Fabric

Lower Platform Costs

Consolidate onto a single Fabric capacity and eliminate Databricks and AWS-related charges.

Simpler Operations

Manage data engineering, analytics, BI, and governance in one platform.

One Governed Data Foundation

Run analytics, BI, and AI from a shared OneLake data estate.

Unified Governance

Apply lineage, classification, and access controls across the data estate.

AI-Ready Data

Support Copilot, Fabric data agents, and AI experiences on governed OneLake data.

Internal Team Enablement

Equip your team to operate and scale Fabric after the migration.

The Migration Question

Is Fabric the Right Fit?

Fabric is likely the right fit if:

You're heavily invested in Microsoft technologies

Governance spans multiple platforms

Managing AWS and Databricks costs is becoming difficult

AI initiatives depend on a stronger data foundation

Stay on Databricks if:

They rely on capabilities Fabric doesn't currently provide

Multi-cloud requirements are a priority

Existing Databricks investments outweigh consolidation benefits

We work across both platforms.

The assessment-phase of your migration identifies which workloads should move and which should stay.

Award 2024 partner of the Year Analytics

Why Quisitive

Your Migration Partner of Choice

We Know Both Platforms

We recommend what's right for you, not what's easiest for us.

Award-Winning Fabric Expertise

Microsoft Global Analytics Award winner for Fabric delivery in 2024

Assessment-First Delivery

Validate every wave before moving forward. No big-bang migration.

Proven Migration Accelerators

Reduce risk while preserving existing business logic.

Contact Us

Planning an AWS Databricks Migration?
Start Here.

Meet with a Fabric migration expert to discuss your environment, evaluate your options, and understand the effort, timeline, and potential business impact.

Book a 30-Minute Scoping Call

FAQ

How do you validate workloads during a Databricks to Microsoft Fabric migration?

We verify that workloads still work after migration through data reconciliation, functional testing, and performance validation before each cutover. Every migration wave is validated side by side before production workloads move to Microsoft Fabric.

Will migrating from Databricks to Microsoft Fabric cause downtime?

How much does a Databricks to Microsoft Fabric migration cost?

What happens to AWS and Databricks after migration to Microsoft Fabric?

Should every Databricks workload move to Microsoft Fabric?