Dgraph

Dgraph is a horizontally scalable, distributed graph database designed to provide low-latency, high-throughput queries for complex, interconnected data. Unlike traditional databases that struggle with deep joins, Dgraph's native graph engine executes multi-hop traversals with constant-time performance. Built in Go, it leverages a unique architecture where data is sharded and replicated across a cluster, utilizing the Raft consensus algorithm for ACID transactions. In the 2026 landscape, Dgraph has solidified its position as a premier backend for AI-driven applications by integrating native vector search capabilities directly into its graph schema. This allows developers to perform hybrid searches—combining semantic similarity with structural graph relationships—within a single query. Its native GraphQL support eliminates the need for complex ORMs, automatically generating a high-performance API from a simple schema definition. Whether powering real-time recommendation engines, sophisticated fraud detection systems, or enterprise-grade knowledge graphs for RAG (Retrieval-Augmented Generation), Dgraph provides the scalability and developer experience required for modern, data-intensive AI solutions.