
REPORT
How are organizations evolving their database strategies to meet the demands of modern data and AI?
As real-time applications, global workloads, and AI-driven systems become the new normal, organizations are rapidly rethinking how their databases must perform. This report explores how teams are adapting their database architectures to support increasing scale, stronger resilience, and the rise of AI-powered use cases.
Why most organizations now rely on multiple database models to support diverse workloads
How teams are modernizing data architectures for performance, reliability, and observability
How distributed SQL and multi-region designs are reshaping expectations for scale and consistency
What emerging trends — from vector indexing to RAG — mean for AI-ready data systems
How to choose the right database strategy for your next-generation applications
