IDUG NA 2026

In this session we'll take a look at the capabilities that have been added to Db2 over the past years to prepare Db2 to meet client demands of today and the future. This will include modern deployment options such as cloud and containerized deployments - but - we'll spend more time on modern workloads such as data virtualization, multi-model support, NoSQL support, how to handle mixed workloads and, of course, AI. Many clients are using Db2 for traditional OLTP, operational and analytic workloads - but - are you getting the full value of your Db2 investment and footprint ? All these high value capabilities are there and included in your current license base. Lets unpack what they are.

This session explores the latest advancements in Db2 LUW designed to ensure continuous reliability, high availability, and disaster recovery for enterprise databases. Attendees will gain insight into new features introduced since Db2 v12.1, including integrated automated HA solutions with Pacemaker, online upgrades and maintenance with minimal disruption, and seamless backup and recovery enhancements. The presentation covers the architecture and operational principles of Db2 pureScale, demonstrating how it delivers near-linear scalability, robust transactional integrity, and rapid failover across cloud and on-prem environments. Real-world testing scenarios and enterprise-grade validation processes are highlighted to showcase how Db2 achieves platinum-level resiliency. Whether you manage mission-critical workloads or architect resilient database solutions, this session provides actionable strategies and technical guidance to maximize uptime, streamline maintenance, and future-proof your Db2 deployments

This hands-on lab will explore how Db2 integrates vector data with structured relational data to support AI-driven use cases. Through guided exercises, attendees will combine unstructured text-derived vectors with traditional data and apply similarity search across both. The lab shows queries that merge SQL filtering with vector similarity to enable semantic search, recommendations, and intelligent data retrieval.