Dgraph

Dgraph is a fault-tolerant, distributed graph database that supports GraphQL natively, letting you build distributed apps at scale quickly. It's optimized for performance, scalability and fault tolerance, making it a great choice for big, complicated apps.

Dgraph uses GraphQL to give you a simple, high-performance interface to your data. By defining a single GraphQL schema, you can deploy it and immediately get access to the database and the API. No more tedious data mapping between GraphQL and database schema, which means better performance, scalability and maintainability.

Some of the key benefits of Dgraph include:

• Easy to Use: Define a GraphQL schema and deploy it to get immediate access to the database and the API.
• High Performance: Breaks down queries into sub-queries that run in parallel for low latency and high throughput.
• Limitless Scale and Fault Tolerance: Automatically shards the graph and rebalances data across multiple nodes for high service reliability.
• Native GraphQL: GraphQL queries are planned and optimized as graph queries for high performance.
• Auto Generation of Queries and Mutations: Dgraph auto-generates queries and mutations based on the schema, so you can start running them immediately.

Dgraph is great for applications that have complex relationships between data, such as:

• Knowledge Graphs: Structure and make sense of large amounts of data by modeling knowledge as a network of entities and relationships.
• Recommendation Engines: Compute similarity functions using graph traversal and computation for real-time recommendations.
• Entity Resolution: Identify and match real-world entities in unstructured data sources by storing, linking, and traversing nodes.
• Process Monitoring: Detect complex fraud involving multiple entities and accounts with Dgraph's ability to analyze large amounts of data.

Dgraph's pricing tiers are:

• Shared: Starting at $39.99/month, good for prototyping and POCs, with 5GB of data per day and $2/additional GB.
• Dedicated: Starting at $89/month/node, good for production use, with up to 1TB of storage and replication/sharding options.
• Enterprise: Custom pricing for high-performance production apps that need self-managed infrastructure and/or custom configuration.

Dgraph can be deployed in a variety of ways, including on-premises, AWS and GCP, so you can use whatever infrastructure you need. Its open-source design and community support means that developers can contribute and benefit from a collaborative ecosystem.

Whether you're building a modern app or trying to manage complex data relationships, Dgraph is a powerful and scalable way to help you get the job done efficiently.

Published on July 16, 2024