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Ozessa

We build and manage reliable data systems inside your Microsoft Fabric workspace. You own everything.

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Insights
Strategic Overview
Microsoft Fabric vs AWS Redshift: The End of the Provisioned Data Warehouse
Owned by you. Built for truth.

Microsoft Fabric vs AWS Redshift: The End of the Provisioned Data Warehouse

Why legacy cluster architectures are failing modern SMEs.

Read AnalysisBook a consultation
FABRICENGINE
ERP
CRM
API
SQL
IoT
XLS
DeploymentInside your Microsoft tenant
Data Ownership100% yours
Lock-inNone - you keep everything
Built on Microsoft FabricEnterprise-grade architecture
Operational Depth
TL;DR / Executive Summary

AWS Redshift's node-based architecture requires significant DBA overhead to manage scaling and vacuuming.

Fabric utilizes a serverless Polaris engine that scales instantly without node provisioning.

Migrating from Redshift to Fabric eliminates the need for dedicated database administrators.

Read Time
15 MIN READ
Authority
Strategic Overview
Tier
Technical Evaluation
KEY FACTS
FACT_01

Fabric Data Warehouse requires 0 hours of manual index maintenance or vacuuming.

FACT_02

Redshift concurrency scaling incurs additional charges; Fabric balances workloads natively within the F-SKU.

FACT_03

Fabric supports cross-database querying seamlessly via OneLake shortcuts.

Definition

What is Serverless Data Warehousing?

A cloud database architecture where the provider automatically provisions, scales, and shuts down compute resources based on query demand, eliminating node management.
Problem analysis
A. Symptom

Visible Signal

Queries queueing and failing during Monday morning executive reporting hours.

B. Business Impact

Consequence

Delayed decision-making and manual intervention required to resize clusters.

C. Hidden Failure

Architecture Flaw

Relying on static compute clusters that cannot adapt to highly variable business intelligence workloads.

Root cause

AWS Redshift was revolutionary in 2012, but its underlying architecture still relies on provisioning specific hardware nodes (e.g., RA3 instances). This forces organizations into a permanent state of over-provisioning to handle peak loads, wasting capital during off-hours. Fabric\'s Polaris engine abstracts the hardware entirely, allocating compute dynamically across the tenant.

Our solution

The Reliability Engine Response

Our architecture mandates a reliability-first approach, injecting comprehensive markers and circuit breakers into the core transformation logic.

1

Direct migration from Redshift to Fabric Serverless SQL Pools.

2

Conversion of Redshift Sort/Dist keys into native Delta Parquet optimizations.

3

Elimination of AWS Glue workflows in favor of Fabric Data Factory.

Business impact
20 hrs/mo DBA Maintenance
Time Recovered
No Over-Provisioning
Cost Mitigation
Concurrency Bottlenecks
Risk Exposure
Delta Lake ACID Compliance
Metric Accuracy
Technical Analysis

The debate of Microsoft Fabric vs AWS Redshift is fundamentally a comparison between generations of architecture. Redshift requires a team to monitor distribution keys, manage vacuum processes, and carefully scale concurrency clusters. Microsoft Fabric, built on the Serverless Polaris engine, requires none of this. The system automatically distributes compute to where it is needed.

At Ozessa, we see mid-market companies wasting up to 40% of their AWS Redshift spend on idle compute nodes. By transitioning to a Independent Data Estate within Fabric, organizations immediately liquidate this Manual Data Debt and redirect capital toward actual business intelligence development.

Aleks - Lead Data Architect

Aleks

Lead Data Architect

Aleks is the Lead Data Architect at Ozessa, specializing in building mathematically verifiable data architectures on Microsoft Fabric. With a focus on long-term reliability and zero-lock-in data ownership, he engineers infrastructure that eliminates reporting risk.

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KEY TAKEAWAYS
  • ●Fabric eliminates database administration tasks.
  • ●Node-based warehouses are financially inefficient for SMEs.
KEY DATA POINTS
Architecture: Polaris Serverless Engine
Maintenance: Zero Vacuuming Required
On this page
  • Executive Summary
  • Key Facts
  • Definition
  • Problem analysis
  • Root Cause
  • Our Solution
  • Business Impact
  • Technical Analysis
  • Key Takeaways
Share Record
Related Intel
12 MIN READ

The ROI of a Independent Data Estate

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10 MIN READ

Moving from Manual Data Work (Manual Work) to Data Dividends

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18 MIN READ

What is a Data Estate? Strategic Guide & ROI Blueprint

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DeploymentInside your Microsoft tenant
Data ownership100% yours
Lock-inNone - you keep everything
Built on Microsoft Fabric
Enterprise-grade architecture
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