Neo4j AuraDB
Frequently Asked Questions
General
- Neo4j CMS is a fully managed, white-glove offering where database operations management is provided by Neo4j experts who have experience in managing some of the largest Neo4j deployments in the world. This service is designed for enterprise customers who want to customize their deployment model, security configuration, contractual terms and service levels to their specific needs. In this offering, Neo4j experts take care of customers database operations inside of a customer’s own data center or virtual private cloud (VPC).
- Neo4j AuraDB is a cloud database service that allows the user to instantly provision and connect with. It is offered as a cloud service on Neo4j managed cloud infrastructure. All service operations, such as setup, configuration, provisioning, storage and network setups, are fully automated within the service and the user has no access to these system controls.
Pricing
Configuration
While paused, you can either resume or delete the database, all other operations are suspended. During resume, all your configurations and plugins are automatically restored. For the paid tiers, you can pause a database for up to 30 days, after which point AuraDB automatically resumes the database. For AuraDB Free, a database paused for 90 days is automatically deleted by the service.
Scaling
Reliability
Security
- Secure authentication: All access is secured by your unique access credentials known only to you. Database access credentials are not stored by, nor accessible to Neo4j staff.
- End-to-end encryption: All network traffic is encrypted using Transport Layer Security (TLS), as well as data-at-rest encryption using encrypted storage volumes.
- VPC isolation (AuraDB Enterprise only): The environment is fully isolated with dedicated cloud infrastructure to ensure privacy and security.
- Role-based access control (AuraDB Enterprise only): With custom roles and granular access permissions, even at a node level, you get fine-grained control to help meet your compliance and data governance requirements.