Azure Cosmos DB

Unified Infrastructure for Vector Search, AI-Optimized Queries, and Hybrid Workloads No longer passive storage and query engines, databases are becoming active, intelligent participants in how modern systems interpret, connect, and act on data. As AI moves deeper into production and enterprises adopt generative and agentic architectures, the database layer is being reshaped to support semantic search, contextual retrieval, and real-time decision-making.

Every organization is now in the business of data, but they must keep up as database capabilities and the purposes they serve continue to evolve. Systems once defined by rows and tables now span regions and clouds, requiring a balance between transactional speed and analytical depth, as well as integration of relational, document, and vector models into a single, multi-model design.

Across the globe, companies aren't just collecting data, they are rethinking how it's stored, accessed, processed, and trusted by both internal and external users and stakeholders. And with the growing adoption of generative and agentic AI tools, there is a renewed focus on data hygiene, security, and observability.