Need pricing for Arango?

Share your environment and scale requirements, and we’ll provide transparent pricing for managed or self-managed deployments.

Pricing is based on deployment type (Managed, Self-Managed, or Embedded), environment size, and required enterprise features like HA/DR, RBAC, or GPU acceleration. Quotes are configuration-based — not bundled into opaque tiers.

ArangoDB is the core database — a native multi-model engine that supports graph, document, key-value, vector, and search in one query language (AQL).

The Arango AI Data Platform extends that with governance, observability, GPU acceleration, integrations (LLMs, GraphRAG, etc.), and platform services for enterprise-scale AI applications.

Yes. ArangoDB Community Edition is free for local or non-commercial use.
It includes the core database only — no Enterprise or Platform features — and is limited to 100GB of data.

It’s best for development, learning, and testing, not for production workloads.

Enterprise adds advanced features:

  • Enterprise support and SLAs
  • High availability, clustering, and hot backups
  • Enterprise-grade security (RBAC, SSO, audit logs)
  • Observability and performance monitoring
  • GPU acceleration and horizontal scaling

Arango Managed Platform (AMP) pricing is based on resources, nodes, and SLA level. It includes full operations, monitoring, scaling, and backups. Ideal for production-grade AI and multi-modal workloads.

Self-Managed Platform (SMP) pricing covers the same enterprise capabilities but runs in your own environment (cloud, on-prem, or VPC). You manage operations; we provide licensing, updates, and support.

Yes. Embedded licensing lets you integrate ArangoDB or the full Platform into your own product. Pricing depends on usage, redistribution terms, and support requirements.

You can deploy or purchase Arango through AWS Marketplace and Google Cloud Marketplace for usage-based billing and procurement.

Yes. Many teams start with ArangoDB Community or Enterprise and later move to the full AI Data Platform when they need GPU acceleration, multi-modal ingestion, governance, or observability. The architecture is designed for a seamless upgrade path.

Submit your deployment details — environment, scale, and workload type — and we’ll provide a transparent quote tailored to your setup.