CrabTalk vs AWS Lambda.
Event Functions + AWS storage
Lambda offers memory settings in 1 MB increments from 128 MB, with CPU tied to the setting. CrabTalk starts at 1 MiB per tool and lets code lower a single call’s reservation.
Which fits your work?
CrabTalk
- Tools needing only a few MiB per call
- Memory sizing independent of CPU budgets
- SQL and agent access in one service
AWS Lambda
- An existing AWS application and IAM setup
- Larger compute or memory requirements
- Runtime dependencies outside CrabTalk’s host APIs
Capabilities side by side.
| Capability | CrabTalk | AWS Lambda |
|---|---|---|
| Memory range | 1–128 MiB per tool budget | 128–10,240 MB in 1 MB increments |
| CPU relationship | Separate CPU and memory budgets | CPU allocation increases with configured memory |
| Input-specific sizing | Lower one running call’s reservation | Memory configured on the function |
| Persistent data | Service-owned SQLite | AWS storage such as DynamoDB, S3 or EFS |
| HTTP access | Hosted tool discovery and calling | Function URL or API Gateway |
| Dependencies | Rust/Wasm host APIs | Managed runtimes, custom runtimes and container packaging |
| Execution charges | Runs, CPU, reserved memory-time and rows | Requests and configured memory × duration |
Fetch an order and save a review decision.
An agent calls an upstream order API, then records its decision for another agent. Include durable storage and endpoint access on both paths.
CrabTalk
- Define fetch and review tools with SQLite
- Budget memory for the expected responses
- Deploy and grant agents tool access
AWS Lambda
- Write handlers using your chosen Lambda runtime
- Connect durable storage and configure IAM
- Expose authenticated HTTP or an MCP handler
CrabTalk vs AWS Lambda pricing.
CrabTalk
CPU and reserved memory-time are separate charges. Lowering a call’s reservation reduces its memory charge for the remaining duration.
AWS Lambda
On-demand functions bill requests and memory-duration. Architecture, region, provisioned concurrency and connected storage affect the total.
Our chart models 128 MiB x86 execution with DynamoDB operations. Lambda’s CPU allocation changes with memory; test the chosen configuration before drawing a cost or speed conclusion.
Limits that affect the choice.
- CrabTalk has a 100 ms CPU and 128 MiB ceiling per tool budget. Lambda supports workloads needing substantially more memory and compute.
- Lambda execution environments can be reused. Cached memory and temporary files are not a shared durable database for independently scheduled calls.
- CrabTalk’s reservation includes time waiting for external APIs. A smaller memory budget reduces that charge; it does not eliminate waiting time.
Questions about CrabTalk and AWS Lambda.
Does Lambda offer precise memory settings?
Yes: 1 MB increments, starting at 128 MB. CrabTalk’s distinction is the smaller 1–128 MiB range, separate CPU budget and per-call lowering.
Does Lambda require API Gateway?
No. Function URLs provide dedicated HTTPS endpoints. Choose the access mechanism your client supports and account for application authentication and any MCP handler.
Should I move an existing AWS backend?
Only if the tool workload fits. Keeping Lambda may be simpler when IAM, event integrations, dependencies and storage already serve the application well.
Sources.
Checked .