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Connect QAD ERP to Microsoft Fabric with Open Mirroring

Building and maintaining your own QAD connection to Fabric takes data team time away from reporting. Kanerika's ready-built QAD integration brings data from all your QAD databases into Microsoft Fabric through Open Mirroring and keeps it current for Power BI reporting and analytics.

Get Started with QAD to Fabric Mirroring

The ERP Data Challenge

The Cost of Leaving Your QAD Data Disconnected

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23%

of manufacturers have fully integrated their ERP, PLM, quality and OT systems.

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44%

of manufacturers aren’t effectively using the data they already collect

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90%

of IT leaders say data silos are creating business challenges

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$12.9M

is the average yearly cost of poor data quality to an organization

 

QAD Open Mirroring for Microsoft Fabric

QAD runs on the Progress OpenEdge database, and getting its data into Fabric takes QAD-specific handling. Kanerika's accelerator reads from your QAD databases and sends changes to Fabric through Open Mirroring, Microsoft's own method for bringing other systems into Fabric.

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Multiple QAD Databases

Each QAD database keeps its own space in Fabric, so plants and regions stay organized.

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Deleted Records

Records removed in QAD are removed in Fabric too, so reports match the source.

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Accurate Data Types

Field types come straight from QAD’s own definitions, which avoids load errors.

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Continuous Sync

Mirroring keeps running through quiet periods when nothing has changed in QAD.

See How QAD ERP to Microsoft Fabric Open Mirroring Works

Watch how Kanerika connects to your QAD databases, brings data into Microsoft Fabric through Open Mirroring, and keeps it current for Power BI reporting and analytics.

Start with a QAD Readiness Assessment

In 2 to 3 weeks, you’ll know what it takes to bring your QAD data into Fabric, before you commit to a project. You’ll come away knowing which QAD data is ready to move, what needs fixing first, how fresh the data in Fabric can be, what Fabric capacity to plan for

The Mirroring Process

How Our QAD to Microsoft Fabric Process Works

QAD Readiness Assessment

In 2 to 3 weeks, we review your QAD setup and list every database and table in scope. We check which tables track changes reliably and which need fixes before they can sync. Then we estimate data freshness and Fabric capacity, and agree the right ingestion approach with your team.

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Pilot on Your Own QAD Data

We connect one QAD module or region to Microsoft Fabric using your own data, with a fixed scope agreed up front. The accelerator, mirrored database and SQL endpoint are all set up. We then check record counts against QAD and review the results with your team before deciding next steps. See how this worked on a client’s live QAD systems.

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Scale by Module and Region

After the pilot, we add more QAD databases, modules and regions on the same accelerator, so nothing is rebuilt. What the pilot showed about data volumes and refresh times shapes sizing for each step. Fabric capacity is reviewed as the estate grows, and each module or region is priced separately.

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Run and Support

After go-live, the sync is monitored and every run is logged, with alerts on errors. Regular record-count checks against QAD confirm the numbers match. When a QAD upgrade changes your data structure, the changes go through a managed process. Ownership, support levels and escalation paths are agreed with your team.

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The QAD to Fabric Advantage

What Enterprises Gain with QAD Data in Microsoft Fabric

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One View Across Plants

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Latest Data Without Custom Build

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Less Strain and Less Risk

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Built-In Power BI, Analytics and AI

Case studies

Delivering Measurable Outcomes

For a global electronics manufacturer, we brought 500 source tables from ten regional QAD databases across Asia Pacific, Europe and the Americas into one governed Fabric layer. The first working environment ran on real production data within 10 weeks.

60% Faster Migration: Crystal Reports to Power BI

Impact:

  • 60% Faster Migration
  • 10x Data Scale
  • 99.5% Refresh Success Rate

60% Faster Analytics with Informatica to Alteryx

Impact:

  • 45% Faster Reporting Cycles
  • 38% Reduction in Maintenance Costs
  • 60% Improved Analytics Turnaround

74% Faster Retail Reporting with Microsoft Fabric

Impact:

  • 74% Faster Reporting Cycles
  • 65% Increase in Reporting Stability
  • 72% Faster Access to Current Metrics

Frequently Asked Questions (FAQs)

Does Microsoft Fabric support QAD mirroring natively?

No. Fabric’s built-in sync covers systems such as SQL Server, Oracle, SAP Datasphere and Snowflake, and QAD isn’t one of them. For other systems, Microsoft offers Open Mirroring, which lets a partner like Kanerika build the connection. Our technical guide to mirroring QAD data into Microsoft Fabric covers how the connection works.

In 2 to 3 weeks, Kanerika reviews your QAD setup and lists every database and table in scope. It checks which tables track changes reliably and which need fixes, estimates data freshness and Fabric capacity, and agrees the ingestion approach with your team, before you commit to a project.

The readiness assessment takes 2 to 3 weeks. Pilot and rollout timelines depend on how many QAD databases, modules and regions are in scope, and the assessment sets them.

Cost depends on how many QAD databases, tables and modules are in scope. The pilot is scoped per customer, and rollout is priced by module or region once the assessment has sized your estate.

Yes. QAD stays your ERP. Our accelerator reads data from QAD and sends the changes to Fabric, and where tables support it, only changed records are read.

Yes. Each QAD database gets its own connection and its own space in Fabric, so data from different sites stays organized. The readiness assessment sizes the whole setup first, since more databases and tables need more Fabric capacity.

Freshness depends on how often changes are read, how many tables and databases are in scope, and the Fabric capacity behind them. The readiness assessment estimates latency for your estate. 

When a QAD upgrade changes the structure of your data, such as adding new fields, those changes go through a managed process during the Run and Support phase, agreed with your team.

The pilot connects one QAD module or region to Microsoft Fabric using your own data, with a fixed scope agreed up front. Kanerika sets up the accelerator, the mirrored database and the SQL endpoint, checks record counts against QAD, and reviews the results with your team before you decide on rollout.

Every run is logged, and errors trigger an alert. Re-running a load doesn’t create duplicates, and if one table looks wrong, only that part is reloaded. We also recommend regular record-count checks against QAD.

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