Overview - Dgraph
Dgraph is an open-source, scalable, distributed, highly available and fast graph database, designed from the ground up to be run in production. It provides a rich set of features for building and managing graph-based applications, including a powerful query language, real-time updates, and a flexible data model.
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Key Features of the Site
Scalability
Dgraph is designed to scale horizontally across multiple servers, making it suitable for applications with large datasets and high query loads.
High Availability
With its distributed architecture, Dgraph ensures high availability and fault tolerance, minimizing downtime and data loss.
Real-time Updates
Dgraph supports real-time updates, allowing applications to reflect changes in the data immediately.
GraphQL Support
Dgraph offers native support for GraphQL, making it easier for developers to query and manipulate graph data.
ACID Transactions
Dgraph ensures data integrity with ACID-compliant transactions, providing reliability for critical applications.
Flexible Schema
Dgraph's flexible schema allows for easy modifications and adaptations to the data model as application requirements evolve.
Distributed Query Execution
Queries in Dgraph are executed in a distributed manner, optimizing performance and reducing latency.
Security Features
Dgraph includes robust security features, including authentication, authorization, and encryption, to protect sensitive data.
Comprehensive Documentation
Dgraph provides extensive documentation and tutorials, making it easier for developers to get started and build applications.
Community and Support
Dgraph has a vibrant community and offers professional support, ensuring users can find help and resources when needed.
Additional information
License
Dgraph is released under the Apache License 2.0, allowing for free use, modification, and distribution.
Contributing
Dgraph encourages contributions from the community, offering guidelines for contributing code, documentation, and more.
Use Cases
Dgraph is used in a variety of applications, including social networks, recommendation engines, fraud detection, and knowledge graphs.
Performance
Dgraph is optimized for high performance, capable of handling complex queries and large datasets efficiently.
Integration
Dgraph can be integrated with various tools and platforms, including Kubernetes, Docker, and cloud services, for seamless deployment and management.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for dgraph.io