CrabTalk vs Fastly.

Compute + edge data services

Fastly Compute runs Wasm request handlers on its edge network with APIs and data services such as KV Store. CrabTalk packages service-owned SQLite, reusable tools and per-call resource budgets behind a hosted agent interface.

Which fits your work?

CrabTalk

  • A shared SQL service exposed as agent tools
  • Small, explicit memory reservations per operation
  • Deployable templates with call access and accounting

Fastly

  • Request logic on Fastly’s edge network
  • An existing Compute service and SDK code
  • KV-backed edge APIs and delivery integrations

Use both.

Keep Fastly for request routing, delivery or existing edge APIs. Server-side code can call a CrabTalk service for a separate shared SQL operation when that data belongs to the tool service.

Capabilities side by side.

CrabTalk and Fastly: tools, state, execution and deployment.
Capability CrabTalk Fastly
Execution model Tools in a Rust/Wasm service Wasm request handlers using Compute SDKs
Data model SQLite tables and transactions per tool call KV Store and application-connected data services
Agent access Hosted discovery and service tool calling Compute HTTP APIs and custom tool handlers
Budget controls CPU, rows and memory per tool call Compute service limits and application configuration
Memory sizing 1–128 MiB reservation; lower one running call Platform runtime limits; compute pricing uses requests and CPU
SDK boundary CrabTalk tool interface and host APIs Fastly SDKs and edge-service APIs
Primary scope Reusable operations and service-owned records Globally distributed request and API processing

Read product data and record a review decision.

A product API serves requests and agents add review notes. Compare the actual data path, including any existing edge API or database.

CrabTalk

  1. Define product and review tools with SQLite migrations
  2. Set access and resource budgets
  3. Connect callers to the deployed service

Fastly

  1. Reuse or write a Compute handler with the required SDK
  2. Read the existing data service or configured KV store
  3. Implement review storage and the required tool interface

CrabTalk vs Fastly pricing.

CrabTalk

Runs, CPU, reserved memory-time and database rows, with applicable allowances. Smaller reservations reduce the memory-time part of its bill.

Fastly

Fastly’s published Compute pricing meters requests and vCPU milliseconds. Delivery, storage and other selected services contribute their own charges and allowances.

A memory-size comparison alone cannot establish savings here. Price the complete request, CPU and data path on Fastly; it is outside our execution calculator.

Limits that affect the choice.

  • CrabTalk tool budgets stop at 100 ms CPU and 128 MiB memory. Check the operation against the target platform’s SDK and resource limits before porting.
  • Both platforms use WebAssembly. That does not make their host APIs, data guarantees or deployment artifacts interchangeable.
  • A service-owned SQL database and an edge KV-backed API serve different data patterns. Keep an existing data path when it already implements the required operation.

Questions about CrabTalk and Fastly.

Is WebAssembly unique to CrabTalk?

No. Fastly Compute is built around Wasm execution and supports familiar languages and SDKs. Compare the tool contract, state model and billing units around that runtime.

Does a smaller memory budget prove CrabTalk is cheaper?

No. Fastly’s published Compute meters are requests and vCPU milliseconds. Include its other services and allowances, rather than assuming a separate memory-time charge.

Should I replace an existing Fastly API?

Only if the new service boundary improves the operation. A Fastly handler can continue using its current data source, while a separate CrabTalk service owns distinct reusable tools or records.

Sources.

Checked .

Try CrabTalk.