Q. Is SurrealDB production-ready for large-scale applications?
A: SurrealDB is still maturing but already used in production by some companies. It’s suitable for projects that need flexibility, though enterprises should test scalability before adopting it fully.
Q. Can SurrealDB be integrated with frameworks other than Rocket?
A: Yes. SurrealDB exposes APIs and supports multiple programming languages, so you can integrate it with frameworks like Actix, Axum, or even non-Rust ecosystems.
Q. How does SurrealDB differ from traditional SQL or NoSQL databases?
A: Unlike traditional databases, SurrealDB allows schema flexibility, supports advanced querying, and provides graph relationships natively—making it versatile for multiple use cases.
Q. What is SurrealDB and why should I use it?
A: SurrealDB is a modern, multi-model database that supports SQL-like queries along with graph and document storage. You should use it because it reduces complexity by combining features of relational and NoSQL databases in one system.
A: What are the pros and potential trade-offs of using Hasura?
Pros: Fast setup; minimal server code. GUI for schema management. Real-time GraphQL operations and live queries/subscriptions. Trade-offs / Considerations: Less flexibility for very custom business logic (you may need remote schemas or actions). Security & authorization need to be properly configured externally or via Hasura features. The free / tiny database tiers may have performance […]
Q: How does tracking existing tables or relationships work?
A: If your database already has tables, you can use the “Untracked Tables or Views” section in Hasura’s UI to track them, so they become part of the GraphQL schema. Similarly, you can establish foreign key relationships so GraphQL queries can traverse them.
Q: What kinds of operations does Hasura support out of the box?
A: Hasura provides full CRUD (Create, Read, Update, Delete) via GraphQL, relationship-based nested queries, mutations, and real-time features. You can also define or track foreign key relationships so querying across tables works smoothly.
Q: How do I get started with Hasura + PostgreSQL in this tutorial?
A: Use Docker (or docker-compose) to run Hasura, connect to a PostgreSQL database (locally or via a service like ElephantSQL), then use Hasura’s dashboard to track tables, create or define relationships, and explore GraphQL operations via GraphiQL.
Q: What does “no-code” mean in the context of Hasura + GraphQL?
A: It means that you can spin up a GraphQL API without writing resolvers or server logic manually. Hasura introspects your PostgreSQL database schema, auto-generates queries, mutations, and real-time subscriptions, and provides a GUI to manage tables/relationships.
Q: How does the subscription get triggered in the example?
A: In the example, a createUser mutation is implemented. Whenever this mutation is called, the code publishes a “newUser” event via the PubSub, so any client subscribed to that event receives the new user data in real time.