ArangoDB
ArangoDB is a native multi-model database system that supports graph, document, and search models. It is designed for scalability, high performance, and ease of use.
ArangoDB: Native Multi-Model Database System
ArangoDB is a native multi-model database system that supports graph, document, and search models. It is designed for scalability, high performance, and ease of use.
What is ArangoDB?
ArangoDB is a native multi-model database system that supports multiple data models in one core engine and database system. The supported data models include graphs, documents (JSON documents), and key-value pairs. Using a single database system for multiple data models eliminates expensive data integration between systems and enables new graph and document use cases that require deep integration of both technologies.
Some of the key capabilities and benefits of ArangoDB include:
- Scalable distributed database system for storage and processing of graph, document, and key-value data
- Native multi-model capabilities eliminate need for integration between multiple database systems
- Flexible data models allow modeling of data according to use case requirements
- Graph algorithms and traversal framework for analyzing complex data relationships
- Good performance for high velocity reads and writes as well as complex queries
- Easy to use query language (AQL) unifies queries across models
- Supports geo-spatial indexes and queries for location-based data
- Replication and sharding mechanisms for horizontal scaling of data volume and read/write performance
With its combination of flexible data models, scalable distributed architecture, advanced graph database capabilities, and ease of use, ArangoDB can be useful for modern applications needing to store connected, non-relational or mixed model data.
ArangoDB Features
Features
- Multi-model database supporting documents, graphs and key-value pairs
- Flexible data models
- High performance
- Scalable distributed architecture
- Built-in search engine
- Native graph database
- Joins and transactions across data models
- Role-based access control
- Encryption
- Backups and replication
Pricing
- Open Source
- Subscription-Based
Pros
Supports multiple data models in one database
Good performance for reads and writes
Scales horizontally
Has a free open source edition
Query language AQL is similar to SQL
Can be deployed on-prem or in the cloud
Cons
Not as popular as MongoDB or Neo4j
Limited ecosystem compared to bigger vendors
Steep learning curve for complex queries
No commercial support for open source edition
Official Links
Reviews & Ratings
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