CrabTalk vs Hasura.

DDN data APIs + connectors

Hasura DDN builds federated APIs over connected data sources and modeled operations. CrabTalk hosts reusable tools with their own SQLite records and explicit resource budgets. This comparison focuses on DDN, not every Hasura product.

Which fits your work?

CrabTalk

  • A bounded operation with service-owned records
  • Calling existing tools through hosted MCP
  • Independent service templates and per-call budgets

Hasura

  • A data API across existing source systems
  • GraphQL models, relationships and commands
  • Centralized API authorization over connected data

Use both.

Keep existing application data behind Hasura’s API. An agent or application can query that API and call a separate CrabTalk integration for another operation; the shared workflow does not require moving the source database.

Capabilities side by side.

CrabTalk and Hasura: tools, state, execution and deployment.
Capability CrabTalk Hasura
Data boundary SQLite owned by the service deployment Models and commands over connected source systems
Primary API Defined JSON tools over HTTP and MCP GraphQL and JSON:API over the data model
Relationships SQL queries within the service database Modeled relationships across supported data connectors
Custom logic Rust/Wasm tools and host HTTP APIs Code connectors and modeled commands
Permissions Tool access and checks in service code Model and field authorization in the data API
Compute scope Resource budget per tool call API engine and connector deployment resources
Deployment unit A service image and its own state Versioned supergraph metadata and connector configuration

Read a customer summary from existing systems.

A service that owns new records and an API that joins existing sources have different setup and data responsibilities.

CrabTalk

  1. Check available services for the required source APIs
  2. Define a summary tool only where custom behavior is needed
  3. Configure credentials and keep source records in their systems

Hasura

  1. Connect the existing customer data sources
  2. Add models, relationships, commands and authorization
  3. Build and deploy the supergraph API

CrabTalk vs Hasura pricing.

CrabTalk

Callers pay a published tool’s price when it has one. Service owners pay runs, CPU, reserved memory-time and database rows, plus upstream provider usage. Memory is reserved per tool and can be lowered once for a smaller call.

Hasura

Hasura DDN lists Free, Base and Advanced offerings, with paid plans based on active models. Connector hosting can add CPU and memory charges; source databases and other Hasura products have their own costs.

Count active models, connectors and source infrastructure for the selected DDN deployment. This is not a per-tool-call memory rate and is outside the calculator.

Limits that affect the choice.

  • CrabTalk’s database is scoped to one service, with at most 100 ms CPU and 128 MiB memory per tool. It is not a drop-in federated GraphQL engine.
  • Hasura capabilities depend on the version, connector and deployment. DDN, v2 GraphQL Engine and PromptQL should not be assigned interchangeable features or prices.
  • An agent needs an appropriate client or tool interface to the modeled API. Hasura also publishes a PromptQL MCP project marked unstable and scoped to v1; that is a distinct path from the DDN API compared here.

Questions about CrabTalk and Hasura.

Does Hasura require copying all data into its own database?

No. DDN connects to source systems and models their data and operations. The source database and connector remain part of the architecture.

Does this page compare all Hasura versions?

No. It scopes the setup and pricing to Hasura DDN. Existing v2 deployments and PromptQL need their own capability and pricing checks.

When is a separate tool service useful?

When a defined reusable operation or independent SQL state is needed. If the modeled Hasura API already supplies the result, calling it directly avoids an extra layer.

Sources.

Checked .

Try CrabTalk.