CrabTalk

CrabTalk vs Heroku.

Dynos + managed data

Heroku runs applications in dynos with language tooling and managed data add-ons. CrabTalk runs smaller Rust/Wasm tool services with per-call budgets, service-owned SQLite and hosted agent access.

Which fits your work?

CrabTalk

  • Small reusable tool operations with SQL state
  • Memory budgets sized independently for each tool
  • A hosted service boundary shared across agents

Heroku

  • An existing application and its framework
  • Web processes, workers and add-on services
  • Heroku deployment and managed Postgres workflows

Use both.

Keep an existing application and its database on Heroku. Its server or worker can call a CrabTalk service over HTTP for a distinct integration or shared tool operation.

Capabilities side by side.

CrabTalk and Heroku: tools, state, execution and deployment.
Capability CrabTalk Heroku
Runtime Rust compiled to WebAssembly Application processes inside dynos
Memory scope 1–128 MiB reservation per tool call Dyno capacity shared by the application’s work
Input-specific sizing Lower one running call’s reservation Choose dyno type and process concurrency
Persistent data SQLite belongs to the service Managed Postgres or other data services
Local files Database persistence managed with the service Dyno filesystem is ephemeral
Agent tools Hosted discovery and calling endpoint Host application MCP servers; separate Heroku management MCP
Background work Cron tools and scheduled wakes Worker processes, one-off dynos and scheduling

Expose an existing order application to agents.

An agent looks up orders and records a decision. Reuse application logic and data when they already implement the required operation.

CrabTalk

  1. Choose existing service tools or implement missing operations
  2. Add SQLite only for distinct service-owned records
  3. Deploy with tool access and execution budgets

Heroku

  1. Add or reuse handlers in the order application
  2. Use the current data service and authorization
  3. Deploy the tool server with the application

CrabTalk vs Heroku pricing.

CrabTalk

Owners pay runs, CPU, reserved memory-time and rows. A small reservation stays small while the call waits on an upstream API.

Heroku

Heroku pricing depends on dyno type and usage, plus data services and other add-ons. Different dyno plans have different capacity and lifecycle terms.

Estimate all web and worker capacity, persistent data and add-ons at expected utilization. Heroku is outside the calculator; concurrent requests can share a dyno.

Heroku pricing CrabTalk plans and rates Comparison methodology

Limits that affect the choice.

  • CrabTalk tools have at most 100 ms CPU and 128 MiB memory. Existing frameworks, processes or dependencies may require an application runtime.
  • Heroku discards dyno filesystem changes on stop or restart. Persistent application records need the appropriate data service rather than a local scratch file.
  • This page compares application dynos. Heroku’s managed inference, agent integrations and management MCP are additional products and interfaces.

Questions about CrabTalk and Heroku.

Can Heroku host MCP applications?

Yes. Heroku documents MCP hosting and integrations. Its remote management MCP operates Heroku resources; an application’s own tool endpoint has its own code and access boundary.

Does each request need a separate dyno?

No. Application servers can handle multiple requests within a dyno’s capacity. Compare total process runtime and utilization rather than treating instance memory as a separate reservation for every call.

Must I replace an existing Heroku database?

No. A server can expose the existing data directly. A new CrabTalk database is useful only when a separate service should own distinct records.

Sources.

Checked .

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