Context changes everything.
The graph-native foundation for agentic AI.
Give your agents, assistants, and apps the unified, current, and trusted business context they need to reason, decide, and act.
Watch: The Context Gap — Why Frankenstacks can’t solve it and how Arango does
Proven in 200+ production environments worldwide
Enterprise AI Outcomes
This is what Arango’s Contextual Data Platform delivers in production.
Explainable AI Decisions
Agents grounded in a unified Contextual Data Layer produce decisions that are explainable.
Faster Time to Production
AutoGraph, AutoRAG, and pre-built MCP integrations cut the time to build, manage and operate a reliable AI data architecture.
Traceable Decisions
Graph-native lineage means you can trace every decision back to the source. Auditable end to end.
Simplified Data Architecture
One platform replaces the the need to glue together graph, vector, document, key-value, and search. Less to build, less to maintain.
Enterprise-Grade Infrastructure
HA/DR, RBAC, elastic scaling, and deployment flexibility built into the platform, not bolted on afterward.
Massive Scale. Made Easy.
Horizontal scale across graph, vector, document, key-value, and search. No rebuilds required.
THE CONTEXT GAP
AI agents, assistants, and apps often fail to reach production because they produce unreliable decisions and actions.
The problem isn’t the model.
It’s missing business context.
Why Fragmented Data Breaks AI Agents
Graph, vector, document, key-value, and search are bolted across separate systems. Your AI agents can't reason across them, so they guess instead of knowing.
Why Frankenstacks Lose Enterprise Trust
When AI systems can't trace decisions to governed, secure data, organizations can't act on them. Without lineage, security, and policy controls, AI decisions can't be trusted.
Why Frankenstacks Fail at Enterprise Scale
Separate systems for graph, vector, document, key-value, and search create brittle architectures that slow performance and break at scale.
WHY ARANGO
Stop building Frankenstacks.
Start building with Arango.
Most data platforms were built for storage and retrieval. Arango was built for context, the thing enterprise AI actually needs to reason accurately, explain its answers, and scale with confidence.
Not just different. Fundamentally different.
"Arango is our AI data platform of choice because it delivers performance, scalability, and flexibility that others can’t."
— Joe Eaton, NVIDIA
Context is the architecture, not an add-on
Graph, vector, document, and operational data unified in one contextual data layer, giving AI agents the current, trusted business context they need to reason accurately.
Governed, auditable, enterprise-ready
HA/DR, RBAC, elastic scaling, and deployment flexibility built into the platform, enabling governed, secure AI operations and decisions the business can trust.
Multimodel native, not bolted together
Graph, vector, document, key-value, and search unified in one distributed platform, eliminating brittle integrations and enabling AI workloads to scale across enterprise data.
PROVEN IN PRODUCTION
Performance,
efficiency,
and trust.
2000x
Faster workloads
Query, index, and analyze enterprise data in real-time. Arango's unified architecture eliminates the overhead of moving data between systems.
70%
Simpler Stack
Replace dozens of bolted-together components with one governed platform. Less infrastructure to build, maintain, and debug.
Why leading organizations choose Arango.
FOR DEVELOPERS
Build AI agents, assistants,
and apps faster.
Everything you need to go from zero to production.
Official drivers and code samples for every major language and framework.
Download and start building locally in minutes.
Your favorite stack, ready to go.
Ready to eliminate the Frankenstack?
Give your AI the context it needs.
Talk to our team and see how Arango gives your AI agents, assistants, and apps the trusted foundation they need to work in production.