ArangoDB

Why Arango?

Because one unified data foundation powers everything—from apps to AI.

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One native multi-model data foundation

Most teams building AI and modern apps spend too much time wiring together a graph database for relationships, a document store for JSON, a vector database for embeddings, and a search index for queries. Each new system adds silos, fragile pipelines, and higher costs.

Arango takes a different approach.

Simplify
data complexity

One data platform. One language.

If you try to manually integrate SQL, NoSQL, vector, graph, and search, you’re managing five technologies. With Arango, it’s unified in one platform.

— Ravi Marwaha

Native multi-model data foundation: graph, vector, document, key-value, search.

Query across all models with a single language (AQL), no juggling APIs.

Eliminate silos, fragile integrations, and ad hoc pipelines.

Lower costs and speed time-to-market.

Scale your data without limits

Enterprise-grade performance everywhere you deploy.

GPU-accelerated graph analytics for workloads that can’t wait.

Elastic horizontal and vertical scaling in the cloud, on-prem, VPC, or embedded.

Built-in governance, compliance, and security for enterprise AI.

Deliver accurate, AI-ready insights

All your context. Smarter, more accurate results.

HybridRAG/GraphRAG with native vector search for context-rich answers.

Model-agnostic so it works with any LLM, MLOps, or agentic workflow.

Multimodal ingestion and retrieval: text, audio, images, video.

Speed data-to-value

Future-proof and ready for what’s next.

Cut data plumbing by up to 70% and simplify your stack.

Move from prototype to production faster with built-in integrations.

Reduce maintenance and tool sprawl to lower total cost.

Add AI anytime. The data foundation is already there.

Proven data foundation

Deliver results with speed and confidence.

Arango is the one data platform enterprises trust to power any use case in any industry, to simplify complexity, scale without limits, and deliver results fast.

Complexity kills ROI. AI projects fail when the data isn’t ready, the tools aren’t integrated, and the systems don’t scale.

— Ravi Marwaha
  • Articul8
  • Cloudera
  • Cloud Imperium
  • Cycode
  • Dun and Bradstreet
  • Deloitte
  • Emerson
  • ESRI
  • GE Healthcare
  • French Defense Ministry
  • HPE
  • IC Manage
  • Johnson Controls
  • Johns Hopkins
  • Linx
  • Kaseware
  • London Stock Exchange
  • NIH
  • Mercedes Benz
  • Orange
  • NVIDIA
  • Synopsys
  • Stockbit
  • US Air Force
  • Telstra
  • US Federal Government

Why Arango?

Because one trusted data platform is better than five disconnected systems. With Arango, you get simplicity, scale, speed, and accuracy in one platform. Your data is always ready for the applications and AI of tomorrow.

Explore the Platform

Frequently Asked Questions

Most databases specialize in just one model:

  • Neo4j is graph-only and struggles to scale.
  • MongoDB is mainly document-only.
  • Snowflake focuses on data sharing.

Arango is different. It’s the only native multi-model database — meaning graph, document, key-value, vector, and full-text search aren’t bolted together with plugins or connectors. They’re built into one platform from the start, using a single query language (AQL).
This matters because when you bolt on separate systems, you create a Frankenstein stack: multiple APIs, duplicated data, fragile integrations, and higher costs. With Arango, all the models run natively in one trusted data foundation, so teams get:

  • Fewer moving parts → less to manage and maintain
  • Consistent performance → no extra hops or translation layers
  • True flexibility → mix data models in the same query, with one language

That’s the difference between native integration and a bolted-on stack.

Both. ArangoDB is the native multi-model database. The Arango Data Platform builds on it with governance, scalability, GPU acceleration, and AI integrations.

Yes. Many customers start with 360 views (Customer, patient, criminal, etc.) , or network optimization, fraud detection, and many more. AI Services can be layered on without re-architecting because the data foundation is already in place.

Arango delivers horizontal and vertical scaling with GPU acceleration, workload isolation, and auto-sharding. It’s built for enterprise performance without brittle integrations.

Ultimate flexibility as you can deploy Arango in the cloud, on-prem, in your VPC, or embedded. Both managed and self-managed options are available.