| Gratuito | Un database a grafo completamente gestito gratuitamente; nessun impegno richiesto. |
ArangoGraph Insights Platform | Contattaci | The managed service for ArangoDB provides fully-hosted, managed, & monitored cluster deployments of any size, with enterprise-grade security. rices depend on selected cloud provider, region, disk & CPU size. - Fully Managed: ArangoDB Oasis offers a fully-managed graph database, document store and full-text search engine. All in one place
- Highly Secure: Encryption at transit & at rest guarantee all your data is encrypted before it hits the disk or send over the network. In addition, you can assign fine-grained access control policies to your organization, your projects or deployments. This assigns permissions to groups or individual users
- Elastic Scale: You can elastically scale with all deployment models (OneShard & Sharded Clusters) at anytime and use the special Enterprise features for efficient queries against distributed data
- Oasis-as-code: Completely manage Oasis via a sophisticated API. Automate Oasis using your preferred language, script it using the oasisctl commandline tool or manage your infrastructure GitOps style using terraform
- Expert Support: Get support by the people who built Oasis and ArangoDBs distributed systems. You can choose between different support plans for every deployment ranging from good support in the free version to individual expert support with short response times in Oasis Enterprise
- Managed Backups
- Managed Encryption
- Managed Updates
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| $39.99per backend per month | 5GB di trasferimenti dati per account, $2 per GB aggiuntivo.
Prova gratuita di 7 giorni.
Nessun costo nascosto. Nessun costo per l'archiviazione dei dati. Nessun costo per query. - Schema GraphQL in produzione con un clic
- Cambia i tuoi tipi e tipi di dati istantaneamente con uno schema flessibile
- Il modo più semplice per ottenere un backend GraphQL pronto per la produzione
- Supportato dall'unico database nativo GraphQL — Dgraph
- Supporto immediato per CRUD, indicizzazione, relazioni molti-a-molti e tipi di dati avanzati
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