Databases In 2026: Modern databases now scale for AI workloads, real-time data, and cloud-native apps..Vector Databases: Power semantic search and RAG pipelines for AI-driven applications..Serverless SQL: Auto-scaling SQL engines removes capacity planning for cloud workloads..HTAP Engines: Handle transactions and analytics in one system for real-time insights..Graph Databases: Model relationships for fraud detection, recommendations, and networks..Time-Series Stores: Track IoT, logs, and metrics with high-ingest, low-latency queries..Edge Databases: Run lightweight databases closer to devices for low-latency apps..Multi-Modal Stores: Query text, vectors, JSON, and graphs in a single platform..Choose What Fits: The right database depends on workload, scale, and latency needs..Read More Stories.Join our WhatsApp Channel to get the latest news, exclusives and videos on WhatsApp