ArangoDB 3.12.0
Multi-Model Database for Cloud-Native Applications
This offering provides ArangoDB 3.12.0 deployed on Ubuntu 22.04 LTS, packaged as a ready-to-run cloud image for AWS, Microsoft Azure, and Google Cloud. It delivers a production-ready multi-model database platform designed to support document, graph, and key-value workloads within a single database engine. The solution is a repackaged, enterprise-ready distribution of open-source ArangoDB, validated for cloud deployments and supported with free maintenance support by ATH Infosystems.
Platform Overview
Lightweight Core Deployment
ArangoDB 3.12.0 enables organizations to build flexible data-driven applications using a unified query language across multiple data models. This deployment is optimized for cloud infrastructure and supports both standalone and scalable distributed architectures.
ArangoDB Version: 3.12.0
Operating System: Ubuntu 22.04 LTS
Deployment Targets:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
ArangoDB is accessed through client libraries, REST APIs, and a web-based administrative interface.
Core Database Capabilities
ArangoDB 3.12.0 provides:
- Native support for document, graph, and key-value data models
- AQL (Arango Query Language) for complex queries and joins
- ACID-compliant transactions across data models
- Indexing for performance optimization
- Built-in RESTful APIs for application integration
- Support for JSON-based data storage
These capabilities allow developers to manage diverse data relationships without deploying multiple database systems.
Deployment and Architecture
This ArangoDB image is designed for rapid deployment and architectural flexibility.
- Launch directly from the cloud marketplace
- Preinstalled and configured ArangoDB 3.12.0 runtime
- Full administrative access to Ubuntu and ArangoDB configuration
- Supports single-instance and clustered deployments
- Compatible with cloud load balancers and persistent storage services
The architecture aligns with cloud networking, storage, and security best practices.
Scalability and Performance
ArangoDB 3.12.0 is designed to scale with application demand.
- Horizontal scaling through clustering and sharding
- High availability through replication
- Optimized query execution for large datasets
- Suitable for real-time and analytical workloads
Scalability can be adjusted based on workload patterns and cloud infrastructure sizing.
Maintenance and Support
This offering includes free maintenance support by ATH Infosystems, covering:
- Base image updates and stability assistance
- ArangoDB runtime support
- Guidance for upgrades, clustering, and configuration best practices
Customers maintain full control over their database environment while receiving expert technical assistance.
Security and Data Protection
Security is a core consideration for ArangoDB 3.12.0 deployments.
- Role-based access control for databases and collections
- Authentication and authorization mechanisms
- TLS encryption for client and inter-node communication
- Secure API access and configuration options
- Integration with cloud security and network controls
ArangoDB supports secure data management for production cloud workloads.
Common Use Cases
ArangoDB 3.12.0 on cloud platforms is commonly used for:
- Graph-based applications and relationship analysis
- Content management and document storage
- Recommendation engines and personalization
- Microservices and cloud-native applications
- Real-time analytics and data processing
Summary
ArangoDB 3.12.0 on Ubuntu 22.04 provides a cloud-ready, multi-model database platform for AWS, Azure, and Google Cloud. It enables organizations to manage complex data relationships using a single database engine while maintaining flexibility, performance, and control.
This solution is well suited for teams that require multi-model data support, scalable architecture, and cloud-optimized deployment without managing multiple specialized databases.
This solution is well suited for teams that require multi-model data support, scalable architecture, and cloud-optimized deployment without managing multiple specialized databases.