SimpleQ vs AWS SQS
SimpleQ was built for backends that call LLM APIs and slow third-party services — workloads where rate limits, long response times, and transient failures are the norm. SQS is a pull-based general-purpose queue. SimpleQ pushes jobs to your webhook with built-in retries, rate limiting, a three-signal ack protocol (ack/nack/defer), and backpressure handling that never wastes your retry budget.
| Feature | SimpleQ | AWS SQS |
|---|---|---|
| Managed | Yes | Yes |
| Delivery model | Push (webhook POST) | Pull (consumer polls) |
| Retries | Configurable backoff (exponential/fixed) | Visibility timeout re-queue |
| Rate limiting | Per-queue fixed-window, built-in | None built-in |
| Ack mode | Three-signal protocol: ack (success), nack (failure with retryable flag), defer (backpressure — redelivers without burning attempts). Once the callback returns 200, the outcome is guaranteed. | Visibility timeout — binary success/fail. No explicit backpressure signal. |
| Backpressure | 429/503/529 auto-defers with Retry-After relay. Ack-mode /defer does the same. Neither burns a retry attempt — a job can ride out 100 consecutive 429s and still complete. | Consumer re-queues manually via visibility timeout. Each cycle counts against the redrive policy. |
| Dead-letter queue | Built-in with single + bulk replay via API and dashboard | Built-in, no replay API |
| Idempotency | Publish-boundary dedup — returns existing job ID on duplicate, safe-to-retry publishers | Content-based dedup (FIFO queues only, 5-min window) |
| Queue templates | template: "anthropic" or "openai" — one field configures ack mode, timeout, and backoff tuned for each provider's API | None |
| Per-job audit trail | Full attempt history: status, error, HTTP code, timestamp per attempt | CloudWatch aggregate metrics |
| Webhook signing | HMAC-SHA256 with per-queue secret — a leaked secret affects one queue, not the org | N/A (pull model) |
| AI workload support | Anthropic and OpenAI queue templates, seconds convention matching provider Retry-After headers, ack mode for long LLM calls | None |
| FIFO ordering | No | Yes (FIFO queues) |
| Dashboard | Real-time queue stats, per-job logs, DLQ management | CloudWatch metrics |
| Pricing | Free during early access | Per-request + data transfer |
When to choose SimpleQ
- Your LLM calls return 429s with Retry-After headers. SimpleQ relays the header value directly — seconds in, seconds out, zero conversion — and redelivers when capacity returns. No retry attempt is burned. SQS has no concept of this; every visibility timeout cycle counts.
- You're tired of running polling infrastructure. SimpleQ pushes jobs to your webhook — no consumer fleet, no long-polling loops, no message-deletion API.
- Your work takes longer than 15 seconds — a Claude generation, a video transcode, a slow third-party call. Ack mode lets your handler return 200 immediately and report the real outcome (success, failure, or backpressure) through three distinct callbacks. SQS only distinguishes success (delete) from failure (visibility timeout expiry).
- You want one POST request to configure a production-ready AI queue.
template: "anthropic"or"openai"sets ack mode, timeout, maxAttempts, and exponential backoff — tuned for each provider's API. - A job failed on attempt 3 of 5 and you need to know why. SimpleQ logs every attempt with status, error message, HTTP status code, and timestamp. SQS gives you CloudWatch aggregates.
- You want DLQ replay without writing custom re-publish logic. SimpleQ offers single and bulk replay through the API and dashboard.
- Different teams own different queues and you don't want shared credentials. SimpleQ's HMAC signing secrets are per-queue — a leaked secret affects one queue, not your org.
When to choose SQS
- You need strict FIFO ordering guarantees. SimpleQ does not support ordering today.
- Your architecture depends on Lambda triggers, SQS-to-SNS fan-out, or CloudFormation-managed queues — deep AWS ecosystem integration that SimpleQ doesn't replicate.
- You prefer pull-based consumption where workers control their own pace and you already have the polling infrastructure.
Coming from SQS?
The shift eliminates your polling infrastructure entirely. With SQS, you run consumers that poll, process, and delete messages — and tune visibility timeouts to avoid double-processing. With SimpleQ, you expose a webhook endpoint. SimpleQ POSTs the job to you, retries on failure, defers on backpressure (without burning attempts), and gives you ack/nack/defer for long-running work. No polling loop, no message deletion API, no visibility timeout tuning. If you're calling LLM APIs, start with template: "anthropic" or "openai" — each sets ack mode and timeout defaults tuned for that provider.