Operational & vector databases
Power real-time applications and AI workloads with databases built for low-latency operations, semantic search, and massive scale.
Explore featured operational & vector databases
Tools to automate workflows, build AI agents, and extend enterprise capabilities.
Modern applications need modern databases
Applications need databases that respond in milliseconds, scale horizontally, and stay available globally. AI applications need vector databases that understand semantic meaning, not just exact matches. Different workloads require different database architectures.
Modern applications use multiple specialized databases: document databases for flexibility, distributed SQL for consistency, vector databases for AI, graph databases for relationships, and time-series databases for IoT. The key is choosing the right database for each use case.
How can specialized databases help your organization?
Purpose-built databases deliver 10-100x better performance than general-purpose alternatives.
Distributed databases replicate data worldwide, providing local latency everywhere.
Vector databases enable semantic search, recommendations, and RAG architectures.
Document and multi-model databases match application data structures naturally.
