Feature list of the ArangoDB Platform

For in-depth information about the ArangoDB Platform as a whole and how to deploy and use it, see The ArangoDB Platform.

Architecture

• Core Database: The ArangoDB database system forms the solid core of the ArangoDB Platform.

• Kubernetes: An open-source container orchestration system for automating software deployment, scaling, and management designed by Google. It is the autopilot for operating ArangoDB clusters and the additional Platform services.

• Helm: A package manager for Kubernetes that enables consistent, repeatable installations and version control.

• Envoy: A high-performance service proxy that acts as the gateway for the ArangoDB Platform for centralizing authentication and routing.

• Web interface: The Platform includes a unified, browser-based UI that lets you access its features in an intuitive way. Optional products like the GenAI Suite seamlessly integrate into the UI if installed.

Features

• ArangoDB Core: The ArangoDB database system with support for graphs, documents, key-value, full-text search, and vector search.

• Graph Visualizer: A web-based tool for exploring your graph data with an intuitive interface and sophisticated querying capabilities.

• Graph Analytics: A service that can efficiently load graph data from the core database system and run graph algorithms such as PageRank and many more.

• GenAI Suite: ArangoDB’s graph-powered machine learning (GraphML) as well as GraphRAG for automatically building knowledge graphs from text and taking advantage of both excerpts and higher-level summaries as context for turbocharging GenAI applications.

• Notebook servers: Run Jupyter kernels in the Platform for hosting interactive, Python-based notebooks to experiment and develop applications.

• MLflow integration: Use the popular MLflow for machine learning practitioners as part of the ArangoDB Platform.