ArangoDB
by ArangoDB
A multi-model database for graphs, documents, and key-values with a unified query language.
ArangoDB is a distributed, open-source database offering a flexible data model for graphs, documents, and key-values, enabling high-performance applications with a unified query language.
ArangoDB is a versatile multi-model database that integrates graph, document, and key-value data models within a single engine. It allows developers to build high-performance applications using a SQL-like query language, AQL, which supports complex queries across different data models. ArangoDB's native multi-model capability reduces total cost of ownership by allowing seamless data access strategy changes and combining data models in a single query. It supports ACID transactions for single servers and offers features like SmartGraphs, full-text search, and geo queries. ArangoDB is designed to provide a reliable AI data foundation, enabling AI applications to scale with confidence by grounding them in trusted enterprise data. Its flexibility and ease of use make it suitable for developers and data scientists, offering both self-managed and cloud deployment options.
At a Glance
- Category
- Data & Analytics
- Pricing
- Per resource usage
- Target Market
- CTOs, VP Engineering, Developers, Data Scientists
- Founded
- 2011
Key Features
- ✓Native Multi-model
Supports graph, document, and key-value data models within a single engine.
- ✓ACID Transactions
Ensures atomic, consistent, isolated, and durable transactions on single servers.
- ✓SmartGraphs
Enables local execution of graph queries with sharded document attributes.
- ✓Traversal Projections
Optimizes data loading for AQL traversal queries.
- ✓Unified Query Language
A single query language for all data models, simplifying data management.
Use Cases
- •High-performance applications
Developers can build applications using ArangoDB's flexible data model and unified query language.
- •Graph-based queries
Use ArangoDB's graph capabilities for semantic queries and data representation.
- •AI applications
Ground AI applications in trusted enterprise data for reliable and scalable solutions.
Ideal For
Best For
- ✓Building high-performance applications
- ✓Managing complex data relationships
- ✓Implementing graph-based queries
- ✓Developing AI applications with a strong data foundation
- ✓Flexible data modeling
Deployment
Market Analysis
Pros
- ✓Ease of use
- ✓Flexible data modeling
- ✓High performance
- ✓Unified query language
- ✓Graph capabilities
Cons
- ✗Complexity
- ✗Responsiveness issues
- ✗GUI changes
Pricing
Community Edition
Free
- ✓Open-source
- ✓Basic features
Enterprise Edition
Varies
- ✓Advanced features
- ✓Support options
Pricing for managed cloud services is based on resource usage such as instances, storage, and support level.
Sources
This page was written from 10 sources, 7 on domains other than arangodb.com.
- 1.docs.arangodb.com — features
- 2.docs.arangodb.com — community edition
- 3.arangodb.com — arangodb.comvendor
- 4.arangodb.com — arangodb vs neo4jvendor
- 5.arangodb.com — graph done rightvendor
- 6.g2.com — reviews
- 7.g2.com — reviews
- 8.trustradius.com — reviews
- 9.gartner.com — arangodb
- 10.thectoclub.com — arangodb review
Stay Ahead of the Curve
Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.
SubscribeRelated Products
Monte Carlo
Data and AI agent observability for enterprises running production AI
DataBahn
Agentic data control plane that cuts security telemetry 40-70% before it reaches your SIEM
Actian VectorAI DB
A local-first vector database for AI that runs on the edge, on-prem and air-gapped
Nimble
Expert-level web search agents that learn your domain, cutting AI research token spend roughly in half