Fresche Solutions Launches Db2 Web Query Alternative, Bridging IBM i Data with Modern Microsoft BI and AI

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New offering provides a strategic alternative for thousands of organizations impacted by the end of life for IBM i Db2 Web Query, enabling secure, near-real-time insights in Power BI via Microsoft Fabric.New offering provides a strategic alternative for thousands of organizations impacted by the end of life for IBM i Db2 Web Query, enabling secure, near-real-time insights in Power BI via Microsoft Fabric. GNW

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New offering provides a strategic alternative for thousands of organizations impacted by the end of life for IBM i Db2 Web Query, enabling secure, near-real-time insights in Power BI via Microsoft Fabric

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Fresche Solutions Launches Db2 Web Query Alternative

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MONTREAL, Oct. 29, 2025 (GLOBE NEWSWIRE) — Fresche Solutions today announced the launch of the Fresche Db2 Analytics Accelerator, an innovative solution designed to help IBM i organizations modernize their business intelligence capabilities. The new accelerator provides a secure, high-performance bridge between mission-critical IBM i Db2 data and the advanced analytics capabilities of Microsoft Fabric and Power BI. This release offers the latest and greatest alternative for the thousands of customers affected by IBM’s decision to end the sale and support of its Db2 Web Query for IBM i product.

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For decades, organizations have relied on the IBM i platform for its unmatched reliability and security in running core business operations. However, the discontinuation of Db2 Web Query has created a significant gap, leaving many without a supported tool for reporting, dashboards, and data analysis. The Fresche Db2 Analytics Connector directly addresses this challenge, enabling businesses to unlock the immense value within their long-lived transactional datasets without compromising the integrity of their core systems. It allows for seamless data filtering, transformation, and modeling, consolidating IBM i data with other sources like SQL Server into a single, governed analytics environment.

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“Many companies have been running their most critical applications on IBM i for 20, 30, or even 40 years, accumulating vast stores of invaluable business data. The end of Db2 Web Query left them searching for a way to analyze this data without disrupting the platform they trust,” said Steve Cast, IBM Champion and Practice Director at Fresche. “With our deep heritage in the IBM i space, we understood the urgency and the unique requirements. Our Db2 Analytics Connector is more than just a replacement; it’s a modernization pathway that respects the security and stability of IBM i while opening the door to world-class analytics.”

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The connector is engineered to provide maximum governance of sensitive data while also providing near real-time insights. By leveraging the power of Microsoft Fabric, organizations can build governed data pipelines that feed directly into Power BI for rich visualization and AI-assisted analysis. This enables complex reporting scenarios common in industries such as wholesale distribution, manufacturing, and logistics, including financial planning & analysis (FP&A), profitability reporting by product or region, and operational key performance indicators (KPIs).

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Secure, governed data flow from IBM i Db2 to Microsoft Fabric and Power BI enables near real-time analytics, blending IBM i with sources like SQL Server for a unified, AI-ready data estate.

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“The true power of this solution lies in bringing two best-of-breed platforms together. You have the rock-solid transactional engine of IBM i and the scalable, intelligent analytics of Microsoft Fabric,” stated Steve Mika, Commercial Lead of Data and AI at Fresche. “This isn’t just about recreating old reports. It’s about integrating IBM i data into a modern data estate where you can apply predictive analytics and machine learning models. We have clients using this framework for everything from logistics optimization to predictive maintenance, turning historical data into a forward-looking competitive advantage.”

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