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Rainbow Technology ArangoDB
Database for any data model
Standalone to support multi-model workloads or as a core database for the Arango data platform.
A Unified Cornerstone for Modern Applications
Building modern applications often requires manual integration of graph databases, document storage, vector databases, and search indexes. With each additional system, the complexity and cost goes up.
ArangoDB chooses a preferred path:
Native multi-model data foundation: graph data, vectors, files, key-value pairs, search in one place.
Cross-model querying through a single language (AQL) without switching between different APIs
Eliminate data silos, unstable consolidation and ad hoc data pipelines
Reduce costs and accelerate time-to-market
With ArangoDB, you can model complex relationships in real-world business scenarios without manually integrating multiple systems, and confidently address high data volumes and concurrency challenges.
Ranked No. 1 Global Graph Database Fall 2025
ArangoDB core competencies
Multi-Model Database
ArangoDB, a native graph multi-model database, integrates scalable graph, vector, document, key-value, and full-text search functionality in a single platform:
- Eliminate Data Silos and Fragile Integration
- Flexible modeling of complex real-world systems
- Query all data types without switching languages
Knowledge map
ArangoDB's native graph engine represents and queries complex real-world relationships, which is the foundation for building context-rich AI, recommendation systems, and data insights:
- Attribute Map Model: Stores entities and relationships as JSON files with flexible and extensible attributes.
- Directed edges: Define unidirectional or bidirectional relationships between nodes to support rich semantic modeling.
- Naming Chart: Automatically maintain data integrity and consistency through hosting charts.
- Smart Maps, Enterprise Maps, Satellite Maps: Optimizing Scale, Performance, and Data Proximity in a Decentralized Environment
- Traversal and Path Algorithms: Querying Across Multi-Level Relationships to Discover Hidden Patterns and Insights
- AQL Integration: Combine graphs, documents, vectors and search data using a unified query language.
Unified Search
Built-in federated search for all data models through a single query language:
- Using AQL SEARCH to query graphs, documents and key-value data
- Sort results by relevance via BM25 and TF-IDF
- Apply language analyzer for word segmentation, stemming and standardization.
Decentralized SmartGraphs
Intelligent distribution of graph data to minimize cross-server hops and improve query performance:
- Optimized for distributed workloads
- Reducing Latency in Large-Scale Graph Queries
Affairs and Reliability
ArangoDB ensures data integrity and consistent performance across workloads with full ACID assurance and multiple transaction types:
- AQL transactions: performing simple atomic operations in queries
- Streaming transactions: Support for clear start, commit, and traceback of multi-document transactions for fine-grained control
- JavaScript transactions: Execute custom logic on the server through a single request transaction.
- Compatible ACID: Ensures reliability through atomicity, consistency, isolation, and persistence operations.
- Configurable Persistence: Control write persistence and collection-level persistence to achieve a balance between performance and security.
Single Query Language (AQL)
Declarative language across all data models, with support for natural language access:
- Mixing Traversal, Join, Filter and Aggregate Operations
- Ensure safety and efficiency through binding parameters
- Handling Geo-Queries, Sorting and Similarity Analysis in a Single Query
Horizontal and vertical extensibility
ArangoDB, a native graph multi-model database, integrates scalable graph, vector, document, key-value, and full-text search functionality in a single platform:
- Seamless expansion as workload grows
- Horizontal Scaling through Intelligent Slicing and Highly Available Replication
- Vertical scalability by adding compute or storage capacity with built-in failover and recovery mechanisms for enterprise-class reliability
Time Tracing
"Go back to any key point in time" and query mapping data for compliance, audit, version control and historical analysis needs:
- Tracking changes in data and relationships over time
- Obtain a snapshot of the graph data at any point in time for traceability analysis.
- Perform intertemporal impact analysis through time traversal
Performance in Large Scale Scenarios
ArangoDB delivers the high throughput and reliability required for modern applications:
1.1 million plus
Query processing power per second for large clusters
Billions.
Nodes and Boundary Scale of the Graph
600 times
Performance Improvement of GPU Acceleration over CPU Analysis
Production environment verification
Businesses in a wide range of industries, including high tech, government, telecommunications, healthcare and financial services, rely on theArangoDB supports business-critical systems:
ArangoDB handles workloads 2000 times faster than our legacy system.
Outstanding query language for ultimate performance!
Industry Application Scenarios
Across healthcare, finance, telecommunications and government, ArangoDB provides relational and contextual information for a wide range of industry use cases:
Financial Services
Risk reduction, fraud detection, enhanced customer service
Healthcare
Better insights, better care, lower costs
Telecommunications Operations
Intelligent Network, Enhanced Security, Enhanced Experience
Government Services
Safe, efficient and people-oriented service system
high tech
Simplify technology stacks and accelerate innovation iterations
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Deployment Options
ArangoDB On-Demand Deployment.
Arango AMP
Fully Managed Cloud Services by Arango
self-hosted
Deployment via Kubernetes, Docker, VMs or bare metal
OEM/Embedded
Integrate ArangoDB directly into your product.
Getting Started with ArangoDB
Run as a standalone multi-model database or start your journey as the core engine of the Arango Data Platform.
