ArangoDB's platform is a central hub for developers and database administrators, offering insights into multi-model databases, graph databases, and distributed systems. Through articles, tutorials, and documentation, ArangoDB offers insights into building scalable and flexible data solutions. Developers can learn about NoSQL databases, graph algorithms, and distributed query processing to handle diverse data models and use cases effectively.

ArangoDB

ArangoDB evolved significantly in 2025, strengthening its multi-model database core while expanding into a unified AI data platform. The first half focused on performance improvements, developer productivity, and Kubernetes-native operations. The second half introduced optional graph-powered AI capabilities including GraphRAG, VectorRAG, and HybridRAG. In October, Arango launched the AI Data Platform at Nvidia GTC, combining ArangoDB with unified tooling, cloud-native orchestration, and AI features like natural language querying (AQLizer), MLflow integration, and Triton Inference Server support. The platform enables teams to adopt AI capabilities at their own pace while maintaining production workloads on the proven multi-model foundation.

How Arango Evolved in 2025—and What It Enables Next • Arango

Building on a trusted data foundation to support scale, context, and AI adoption