ArangoDB Database
ArangoDB is a multi-model database system developed by ArangoDB GmbH. It supports three data models with one database core and a unified query language AQL.
- Since:2011
- Discord:@xpccn5c5
- Dockerhub:arangodb
- Docs:www.arangodb.com
- Github Topic:arangodb
- Official:www.arangodb.com
- Reddit:r/ArangoDB
- Repository:github.com
- Twitter:@arangodb
- Wikipedia:ArangoDB
#What is ArangoDB?
ArangoDB is a free and open-source multi-model NoSQL database management system that combines the features of document, key-value, and graph databases. It was designed to provide a flexible data model for modern applications that require real-time transactions and analysis of complex data relationships. ArangoDB has gained popularity among developers because of its ease of use, powerful query capabilities, and scalability.
#ArangoDB Key Features
Here are some of the most recognizable features of ArangoDB:
- Multi-model database with support for key-value, document, and graph data models.
- Native support for multiple query languages, including AQL, SQL, and Gremlin.
- Distributed architecture that supports sharding, replication, and auto-failover.
- Flexible data modeling that allows developers to store and query complex data relationships.
- Full-text search capabilities with support for text indexing and ranking.
- Integrations with popular programming languages, including Python, Java, and Node.js.
#ArangoDB Use-Cases
Here are some common use-cases for ArangoDB:
- Building complex applications that require support for multiple data models.
- Managing large datasets with high query throughput and low latency.
- Developing real-time applications that require complex data relationships.
- Implementing graph analytics for social networking, recommendation systems, and fraud detection.
- Building content management systems that require full-text search capabilities.
- Developing microservices and API-driven architectures.
#ArangoDB Summary
ArangoDB is a versatile NoSQL database management system that provides a flexible data model and powerful query capabilities, making it an ideal choice for modern applications that require real-time transactions and analysis of complex data relationships.
