ArangoDB

What ArangoDB does

ArangoDB Inc. is a private, dual-headquartered (San Francisco and Cologne) enterprise data infrastructure company founded in 2015. Its core product is a native multi-model database that unifies graph, vector, document, key-value, and full-text search in a single engine governed by one query language (AQL), eliminating the need for customers to bolt together separate graph, vector, and document stores. The 2026 launch of the Arango Contextual Data Platform 4.0 extends this foundation into an agentic-AI data layer with proprietary components including AutoGraph (automated knowledge-graph construction), AutoRAG (runtime selection of GraphRAG, HybridRAG, VectorRAG, or Deep Search), ContextRAG, AQLizer (natural language to AQL), and the Ada AI development assistant, plus GPU acceleration via NVIDIA RAPIDS/Triton and Model Context Protocol (MCP) servers for agent integration.

The company monetizes through a three-tier subscription stack — ArangoDB Community Edition (free, non-commercial), ArangoDB Enterprise Edition (production features, replication, failover, security, SLA support), Arango Platform Suite (governance, HA/DR, RBAC, Arango Visualizer), and the Arango Contextual Data Platform (the AI suite) — supplemented by Arango Managed Platform (AMP) on AWS and GCP and OEM/embedded licensing for ISVs (notably Articul8). Go-to-market combines product-led growth through free Community downloads with a direct enterprise field-sales motion targeting financial services, healthcare, government, telecom, and high-tech buyers; named customers include NVIDIA, HPE, London Stock Exchange, U.S. Air Force, NIH, Orange, Telstra, Johns Hopkins, French Defense Ministry, PSI CRO, and InfoCamere.

By the end of 2025 ArangoDB reported $10.7M in ARR, 97 employees, and approximately $47M in cumulative funding (last primary round: $27.8M Series B led by Iris Capital in October 2021). The company holds SOC 2 Type 2 readiness, GDPR, and HIPAA compliance postures, was ranked #1 graph database on G2 for Fall 2025, and operates a global footprint with OEM, cloud-managed, and self-managed deployment options.

Name

ArangoDB

Legal name

ArangoDB Inc.

Website

https://arango.ai

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

101–250 employees

Short description

ArangoDB is a private multi-model database company that unifies graph, vector, document, and search in one engine and sells an AI contextual data platform to enterprises in financial services, healthcare, government, telecom, and high-tech.

Ownership category

akta.pro rank

Product category

Multi-Model Database Software

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372)

akta.pro industry

PRIMARYHDAEAAAL

Multi-Model Databases

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Database Management Systems (Relational & NoSQL)

SECONDARYHDAAACAE

Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding

Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/Foundation Models & Generative AI (LLMs, multimodal)

SECONDARYHDAEANAH

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs)

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Artificial Intelligence Platforms for Enterprise

SECONDARYHDAEALAE

Configuration Management Database (CMDB) Platforms

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Enterprise Service Management (ITSM/ESM) Platforms

Keywords

• Multi-model database
• Graph database platform
• Enterprise AI data platform
• GraphRAG retrieval
• Knowledge graph software

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. ArangoDB Enterprise Edition License: Licensing revenue from Enterprise Edition with advanced features, replication, failover, hot backups, smart graph features, enterprise security, extended sharding, governance, and SLA-backed support. Community Edition is free but not licensed for commercial/production use.
2. Arango Managed Platform (AMP) - Cloud: Fully managed cloud deployment by Arango in AWS or GCP. Revenue from cloud infrastructure and platform management with flexible cluster sizing and high availability.
3. OEM/Embedded Licensing: OEM and Embedded licenses for ISVs and SaaS companies integrating ArangoDB into their products. Includes long-term lifecycle support and flexible licensing for distribution at scale.
4. Arango Platform Suite: Enterprise platform with governance, scalability, GPU acceleration, built-in connectors, APIs, SDKs, drivers, and integrations with popular systems.
5. Arango Contextual Data Platform: Full AI Suite with GraphRAG, HybridRAG, MLOps, LLM integrations, vector embeddings, GPU acceleration, and co-pilot framework integration.

Pricing tiers

Go-to-market motion4 records

Distribution channels4 records

Marketing channels9 records

Core offering

ArangoDB provides a native multi-model database that unifies graph, vector, document, key-value, and full-text search in a single platform with one query language (AQL). On top of this database, it sells the Arango Platform Suite for enterprise operations and the Arango Contextual Data Platform, which adds AI services such as AutoGraph, AutoRAG, Ada, and ContextRAG for building agentic and retrieval-augmented AI applications.

Product overview

ArangoDB offers a three-tier platform architecture centered on its native multi-model database. At the foundation is ArangoDB (core database) supporting graph, vector, document, key-value, and search in one platform with AQL query language. The Arango Platform Suite adds enterprise operations including governance, security, observability, and Arango Visualizer. The Arango Contextual Data Platform is the AI-focused top layer with over 20 built-in AI services including AutoGraph (automated knowledge graphs), AutoRAG (adaptive retrieval), Deep Search (multi-hop queries), Ada/AQLizer (natural language querying), and ContextRAG. Deployment options include managed cloud (AMP), self-managed, and OEM/embedded. Product tiers range from free Community Edition to Enterprise Edition with advanced features and SLA support.

Differentiator

Problem solved

Functional benefit

Brands

• Arango Contextual Data Platform: AI services platform for agents and co-pilots with AutoGraph and 20+ integrated AI services for reasoning, retrieval, and automation.
• Arango Platform Suite
• ArangoDB
• ArangoDB Oasis

Products and services

• Arango Contextual Data Platform Flagship AI data platform providing the context layer for enterprise AI, unifying graph, vector, document, and search with over 20 built-in AI services including AutoGraph, AutoRAG, and Ada for building AI agents and co-pilots.
• Arango Platform Suite

Quantifiable outcome

• Up to 2000x faster workloads than legacy systems
• +8 more outcomes

Named customers24 records

Segments8 records

Ideal customer profiles7 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability10 records

Feature13 records

Partnerships

Twelve partnerships are on record, tiered core and strategic.

• NVIDIAcoreTechnology or IntegrationNVIDIA expanded its developer ecosystem to include Arango as a supported graph backend for GPU-accelerated workloads. ArangoContextual Data Platform 4.0 was showcased at NVIDIA GTC in San Jose. Deep integration with NVIDIA RAPIDS for GPU acceleration of graph analytics.
• Articul8coreOEM/ Whitelabel/ Licensing PartnerOEM partner that embeds Arango as its core data infrastructure for GenAI applications. Articul8 builds enterprise GenAI apps using Arango's multi-model platform.
• SnowflakestrategicTechnology or IntegrationArango showcased its Live Contextual Data Layer for Enterprise AI at Snowflake Summit 2026. Integration between Arango's Contextual Data Platform and Snowflake's Data Cloud.
• AWS (Amazon Web Services)coreTechnology or IntegrationArango Managed Platform (AMP) available on AWS with global region coverage. Self-service cloud deployment option.
• Google Cloud Platform (GCP)coreTechnology or IntegrationArango Managed Platform (AMP) available on Google Cloud Platform with global region coverage.
• Microsoft AzurecoreTechnology or IntegrationArango platform available for deployment on Microsoft Azure. Deployment option for enterprise customers.
• LangChaincoreTechnology or IntegrationArango integrates with LangChain for orchestration of AI agents and retrieval. Works with LangChain as the data and retrieval foundation underneath the orchestration framework.
• LlamaIndexcoreTechnology or IntegrationArango integrates with LlamaIndex for AI agent orchestration and retrieval. Provides the governed data foundation and retrieval layer.
• OpenAIcoreTechnology or IntegrationArango works with OpenAI as an LLM provider. Arango's Contextual Data Platform integrates with OpenAI models for AI applications.
• AnthropiccoreTechnology or IntegrationArango integrates with Anthropic Claude models for AI applications. Works with any LLM including Anthropic's Claude.
• Mistral AIcoreTechnology or IntegrationArango integrates with Mistral AI models. Supports any LLM and agentic framework.
• NVIDIA TritoncoreTechnology or IntegrationArango integrates with NVIDIA Triton inference server for GPU-accelerated AI inference.

Scale indicators12 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Pinecone: Specialized vector database that is the dominant point solution for embedding similarity search used in RAG pipelines. Pinecone directly competes with Arango's VectorRAG/GraphRAG story for AI retrieval workloads and represents the best-of-breed alternative Arango must displace in AI-native deals.
• Weaviate: Open-source vector database with hybrid search and RAG features. Targets a similar developer-led adoption motion as Arango and competes in the same AI retrieval infrastructure category, with overlapping LangChain/LlamaIndex integrations.
• Qdrant: Open-source vector database with growing GraphRAG-adjacent features and Rust-based performance positioning. Competes with Arango's VectorRAG and hybrid retrieval capabilities, particularly in the AI/ML developer community.
• TigerGraph: Enterprise-focused native graph database with strong analytics and fraud-detection use cases similar to Arango's. Competes head-to-head in regulated verticals (financial services, healthcare) where Arango cites customers like Telstra, London Stock Exchange, and InfoCamere.
• SingleStore: Multi-model database combining relational, document, and vector search in a single platform with real-time analytics. Closest architectural analog to Arango's native multi-model proposition, competing for the same enterprise consolidation use cases.
• Neo4j: Direct graph database competitor with similar enterprise customer base and GraphRAG/vector search features. Arango explicitly benchmarks against Neo4j (claims up to 8x faster traversal-heavy queries), making this the closest one-to-one comparable in the graph database category.

Others

• Snowflake: Cloud data platform with growing native vector search and Cortex AI features. Arango has a partnership/integration with Snowflake (showcased at Snowflake Summit 2026), but Snowflake is also a potential competitor or alternative context layer for AI workloads on customer data.

Broad incumbents

• Amazon Neptune: AWS-managed graph database that bundles graph, vector (OpenSearch), and RDF capabilities into the AWS ecosystem. Represents the bundled hyperscaler alternative to Arango for AWS-native enterprises and a key threat to Arango Managed Platform on AWS.
• MongoDB: Broader incumbent document database that has expanded into multi-model, vector search, and Atlas cloud services. MongoDB overlaps with Arango's document and search capabilities and competes for the same enterprise developer mindshare, though its graph capabilities are weaker.
• DataStax (Astra DB): Managed cloud database built on Apache Cassandra with vector search and multi-model capabilities. Competes with Arango's Arango Managed Platform in cloud-native multi-model database deals, particularly for AI and generative workloads.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/arangodb
• YouTubeyoutube.com/user/ArangoDB
• Facebookfacebook.com/arangodb.database
• LinkedInlinkedin.com/company/5289249
• Instagraminstagram.com/arango.ai

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Funding overview

Funding rounds5 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about ArangoDB