Qlik Secures AWS Data Competency for Relational Databases, Strengthening Hybrid Cloud Integration and AI Readiness

Perhaps most importantly in the current technological climate, Qlik’s AWS-validated solutions create a stronger foundation for analytics and artificial intelligence. AI, particularly the current wave of generative AI, is only as good as the data that fuels it. By ensuring that relational data is properly integrated, cleaned, and governed on AWS, Qlik provides the high-quality data pipelines required for machine learning models and AI-driven insights. Organizations can now move with greater confidence from the "data collection" phase to the "trusted business outcome" phase.

Matt Hayes, the general manager of Qlik’s data business unit, emphasized the necessity of this modern approach to data management. He noted that the days of rigid, single-platform data strategies are over. According to Hayes, data strategies today require a level of flexibility that cannot be achieved if a company is tethered to a single destination or a restricted set of tools.

“Our customers need the freedom to work across the technologies they already depend on while modernizing their data foundations for analytics and AI,” Hayes explained. This "freedom" is a core tenet of Qlik’s value proposition. It suggests that the value of data is found in its mobility and its ability to be transformed into insights, rather than in its mere storage.

Hayes further noted that achieving the AWS Data Competency is a reflection of the sheer depth of Qlik’s data capabilities. He characterized the achievement as a testament to the company’s commitment to providing an open and flexible path for organizations. For many businesses, the journey from a complex, fragmented data environment to a state where they can generate trusted business outcomes is fraught with technical hurdles. Qlik’s role, reinforced by the AWS credential, is to simplify that journey.

As the partnership between Qlik and AWS continues to deepen, the focus remains on empowering the end-user. Whether it is a data scientist looking for clean datasets to train a model, a business analyst needing real-time dashboards, or an IT manager tasked with migrating a massive SQL Server database to the cloud, the collaboration provides a vetted, high-performance framework for success.

The achievement of the AWS Data Competency in relational databases is more than just a technical certification; it is a signal to the market that the integration of cloud infrastructure and data intelligence is the primary path forward for the modern enterprise. As organizations continue to grapple with increasing data volumes and the pressure to innovate with AI, the presence of validated partners like Qlik on the AWS platform provides a necessary foundation for stability and growth. By focusing on interoperability, governance, and technical excellence, Qlik and AWS are helping to define the next generation of data-driven business.