Cloud Native databases are designed to fully harness the power of cloud infrastructure, offering dynamic scalability, efficient resource management, and seamless integration with cloud services. These databases are optimized to deliver high performance and resilience in cloud environments by leveraging features like elastic resource allocation and the co-optimization of hardware and software. With the advent of Large Language Models (LLMs), the capabilities of these databases are further enhanced. LLMs enable advanced features like Natural Language to SQL (NL2SQL), allowing users to interact with databases using everyday language, thereby simplifying data access and analysis for users of all technical backgrounds. The convergence of Cloud Native database technology and LLMs is paving the way for more intuitive, powerful, and accessible data services.

To tackle the technical challenges posed by this industry trend, our workshop will adopt a round-table format. Each session will start with a presentation highlighting research problems encountered in industry practice, followed by an open discussion on potential solutions. The workshop is designed as a platform for researchers and practitioners to exchange ideas and share ongoing work without the need for paper submissions or full presentations. Our objective is to collaboratively define the scope of research and guide the community in effectively addressing these emerging challenges.