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

Qlik, a global leader in data integration, analytics, and artificial intelligence, has officially achieved the Amazon Web Services (AWS) Data Competency in the cloud provider’s relational database category. This designation marks a significant milestone in the long-standing collaboration between the two companies, signaling to the global enterprise market that Qlik possesses the specialized technical proficiency and proven customer success required to handle the most demanding data workloads within the AWS ecosystem.

As organizations increasingly migrate their core business functions to the cloud, the ability to manage, integrate, and analyze data across diverse environments has become a critical competitive differentiator. The AWS Competency Program is designed to help customers identify and engage with AWS partners who have demonstrated deep industry experience and technical expertise. By earning this specific credential in the relational database category, Qlik distinguishes itself as a partner capable of delivering sophisticated, unified data architectures that bridge the gap between traditional on-premises systems and modern cloud-native environments.

The achievement comes at a time when the complexity of corporate data landscapes is reaching an all-time high. Modern enterprises rarely rely on a single database or a solitary cloud provider; instead, they operate within a sprawling web of legacy systems, Software-as-a-Service (SaaS) applications, and various cloud-hosted platforms. In this context, the relational database credential recognizes Qlik’s ability to help organizations integrate, govern, and activate their data across these complex environments, ensuring that information is not merely stored but is actively driving business outcomes.

A Rigorous Standard for Technical Excellence

The AWS Data Competency is not a mere participation trophy. It is the result of a rigorous evaluation process that examines a partner’s technical capabilities, their methodology for delivering solutions, and the tangible success of their customers. For Qlik, this designation highlights its capacity to provide deep technical proficiency in managing data solutions on the AWS platform. It serves as a seal of approval for organizations looking for a reliable partner to navigate the intricacies of cloud migration and data modernization.

Within the relational database category, Qlik’s contributions are multi-faceted. The company provides a comprehensive suite of relational database engines, migration tools, and performance-enhancing utilities. These tools are specifically designed to work in harmony with Amazon Relational Database Service (RDS) and AWS Aurora, two of the most popular managed database services in the world. By optimizing its software for these environments, Qlik ensures that customers can achieve higher performance and better scalability than they would with generic, unoptimized tools.

Furthermore, Qlik’s support for AWS-hosted databases is remarkably broad, covering the full spectrum of the modern enterprise database market. This includes widely used open-source and commercial engines such as Oracle, Microsoft SQL Server, MySQL, PostgreSQL, and MariaDB. The company also extends its expertise to specialized and legacy systems, including SAP HANA, Sybase ASE, and IBM Db2. This breadth of support is vital for large-scale enterprises that need to move data from older, on-premises mainframe or mid-range systems into the AWS cloud without losing data integrity or performance.

The Power of a Platform-Agnostic Approach

One of the defining characteristics of Qlik’s strategy is its commitment to an open, platform-agnostic model. In an era where "vendor lock-in" is a major concern for Chief Information Officers (CIOs), Qlik’s philosophy is designed to provide maximum flexibility. The firm’s architecture allows organizations to work across different data formats, cloud platforms, and emerging technologies without being restricted to a single technology stack.

This flexibility is essential because data strategies are no longer static. An organization might start its journey with a specific relational database on AWS today, but as its needs evolve—perhaps through a merger, an acquisition, or the adoption of a new AI initiative—it may need to incorporate different types of data stores or analytics engines. Qlik’s wider capabilities, which include data transformation, governance, and advanced analytics, are built to accommodate this fluidity. By providing a consistent layer for integration and governance, Qlik allows businesses to treat their data as a unified asset, regardless of where it physically resides.

The role of data governance is particularly emphasized in this new AWS designation. As data moves from source systems into AWS Aurora or RDS, maintaining the lineage, security, and quality of that data is paramount. Qlik’s tools provide the visibility needed to ensure that data remains compliant with internal policies and external regulations, a requirement that has become non-negotiable for industries such as finance, healthcare, and government.

Benefits for Qlik customers

The official recognition from AWS brings a host of practical benefits to Qlik’s customer base. For organizations already utilizing AWS, the designation provides a clear roadmap for how to best leverage Qlik’s tools to maximize their cloud investment. Qlik stated that this recognition means customers can connect and work with data across an incredibly diverse range of enterprise environments. This includes not only AWS and other cloud platforms but also traditional on-premises systems and the ever-growing world of SaaS applications.

By utilizing Qlik’s validated solutions, customers can build upon their existing environments while simultaneously adopting new architectures. This "bridge" approach is crucial for digital transformation. It allows companies to modernize at their own pace, moving critical workloads to the cloud when ready while keeping legacy systems connected in the meantime. This hybrid capability ensures that there is no "dark data" left behind in silos, as Qlik provides the connectivity to bring all relevant information into a single, coherent view.

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.