AWS SQS Alternatives for Webhooks: Hookdeck Event Gateway, Convoy, and Cloud Queues Compared

A typical SQS-backed webhook stack looks like this: API Gateway or an ALB exposes the public URL, a Lambda receiver verifies the signature and pushes the event onto an SQS queue, a consumer Lambda drains the queue, and a redrive policy sends repeated failures to a dead-letter queue. SQS absorbs the spike, the DLQ catches failures, and the consumer does the actual processing.

It works but it also leaves you operating a generic queue that was never designed for webhooks. It has no understanding of source identity, no built-in signature verification, no per-event observability, and a receiver Lambda in front that ends up owning all the webhook-specific work. That work doesn't get reused or shared between services, and the DLQ is where webhooks go to be forgotten.

In this article, we'll look at the pros and cons of using SQS for webhooks and compare it with alternatives: Hookdeck Event Gateway, Convoy, Google Pub/Sub, RabbitMQ, and Postgres-backed queues.

How to evaluate an SQS alternative for webhooks

SQS in a webhook context is doing several jobs at once, durable buffer, retry-with-DLQ, and the hand-off point to consumer functions. A useful comparison covers all of them, plus the webhook-specific concerns SQS was never designed to handle:

Webhook-aware features: Signature verification, idempotency, per-source replay, does the alternative handle these natively, or does the receiver Lambda?

Retry semantics: Are retries queue-level or per-source policy?

Dead-letter handling: Is failure recovery a redrive of an opaque SQS message, or a searchable record of the original webhook with one-click replay?

Ingestion: Does the queue receive HTTP webhooks directly, or do you stand up API Gateway plus a receiver Lambda in front of it?

Operational burden: IAM policies, queue config, visibility-timeout tuning, DLQ wiring, CloudWatch dashboards, and the Lambda glue around all of it.

Cost trajectory at scale: Request charges, Lambda invocations, and the engineering hours spent maintaining the pipeline.

What SQS does for webhooks today

The standard pattern

Webhook-handling teams typically reach for SQS to solve two problems: absorbing inbound spikes so a provider's burst doesn't overwhelm downstream compute, and decoupling ingestion from processing. API Gateway (or a Lambda function URL) exposes the public webhook endpoint, a receiver Lambda validates the signature and calls SendMessage, and one or more consumer Lambdas process from the queue. A redrive policy moves messages that exceed maxReceiveCount to a dead-letter queue for manual intervention.

Why teams pick it

It's managed, it's cheap at low volume, and it's already there if you're on AWS. No clustering decisions or version upgrades, IAM-based auth, and integration with Lambda, EventBridge Pipes, and the rest of the AWS ecosystem. For teams already running serverless on AWS, adding a queue is a small step.

Where it falls short for webhooks specifically

The receiver Lambda in front of SQS owns every webhook-specific concern: signature verification, idempotency keys, source-aware retry policy, replay tooling. SQS itself is generic. It doesn't know what a Stripe event is, doesn't see source identity, and offers no per-source observability. Retries are queue-level (visibility timeout plus maxReceiveCount), not source-level, you can't say "retry Stripe for 7 days with exponential backoff but give up on GitHub after an hour" without standing up separate queues with separate redrive configs.

Idempotency is thin: content-based deduplication exists only on FIFO queues, with a fixed 5-minute window, not enough for webhook providers that retry for hours or days (see how to implement webhook idempotency for what the receiver then has to do). Replay means writing a consumer that reads the DLQ and re-injects messages, and reconstructing what actually happened means stitching together CloudWatch logs across the receiver and consumer functions. For why webhook teams increasingly avoid the DLQ pattern altogether, see alternatives to dead-letter queues.

For the conceptual difference between an event gateway and a cloud queue, see event gateway vs message broker. This article is the action-oriented version: you've decided to replace SQS for the webhook path, and you're choosing what comes next.

SQS alternatives for webhooks

The alternatives we'll cover:

• Hookdeck Event Gateway: Managed webhook infrastructure that receives webhooks directly, verifies signatures, deduplicates, and delivers with per-source retry policy and observability.
• Convoy: Self-hostable open-source webhook gateway.
• Google Pub/Sub, RabbitMQ: Other general-purpose queues with the same webhook-specific gaps as SQS.
• Postgres-backed queues: pg-boss and similar for low-volume use cases.

Hookdeck Event Gateway

Hookdeck Event Gateway replaces both the queue and the receiver Lambda for the webhook path. Webhooks arrive at a Hookdeck Event Gateway source, get verified against the provider's signing secret, get held in a durable queue, and get delivered to one or more destinations through connections. You don't stand up API Gateway, you don't write a receiver function, and you don't tune a visibility timeout, the ingestion, buffering, and webhook semantics are the product.

Hookdeck Event Gateway key features

• 120+ pre-configured sources: Stripe, Shopify, GitHub, Twilio, and the rest ship with signature verification handled, no receiver Lambda to write.
• Direct HTTP ingestion: Hookdeck gives you the public webhook URL. There's no API Gateway or function URL to provision and secure.
• Per-source retry policy: Configure exponential, linear, or custom intervals; choose max-attempts, until-success, or a time-bounded window per connection, with status-code rules and Retry-After support. See the retries documentation.
• Deduplication beyond FIFO's 5 minutes: Configurable deduplication windows (1 second to 1 hour) and field-based strategies, plus idempotency headers added to every delivered event.
• Failure handling without a DLQ to drain: Issues capture the full original webhook and group failures by connection and status code, with one-click bulk replay and alerting via Slack, PagerDuty, and OpsGenie.
• Observability: Full-text search across headers, body, path, and query, not log-stitching across CloudWatch.
• No queue to operate: Durable queue, backpressure, and scaling are managed.

How does Hookdeck Event Gateway compare to SQS?

The architectural difference: Hookdeck Event Gateway moves webhook concerns out of your receiver Lambda and out of your AWS operational surface. Connection-based delivery handles the fan-out you'd configure with SNS-to-SQS; per-source retry policy handles what maxReceiveCount and DLQ redrive used to do; full-text search and Issues handle what CloudWatch never quite did for webhooks.

SQS is generic and can carry non-webhook internal messages alongside webhook traffic. Hookdeck Event Gateway is webhook-specific. If your SQS queues are doing a lot of non-webhook work, you're not replacing them, you're moving the webhook half out and leaving the rest where it is.

Convoy

Convoy is an open-source self-hosted webhook gateway. Subscriptions in Convoy map roughly onto Hookdeck connections, source to endpoint, with filters. Convoy supports retries, signature verification, and a basic admin UI.

The trade-offs: a smaller pre-configured source library, no integrated full-text search across long event history, no JavaScript transformations, and you operate it yourself (Postgres, Redis, the Convoy service, plus your own metrics and alerting). It's the right answer when self-hosting is non-negotiable. For more, see Hookdeck Event Gateway vs Convoy comparison.

Google Pub/Sub, RabbitMQ

Google Pub/Sub and RabbitMQ are general-purpose queues you might reach for if you're moving off SQS but staying in the queue paradigm. Pub/Sub is the GCP-native equivalent, managed, with push or pull delivery and DLQ topics. RabbitMQ gives you richer routing (topic and fanout exchanges) at the cost of operating a cluster.

The webhook-specific gap is the same as SQS's: the receiver service in front of the queue still owns signature verification, idempotency, per-source retry policy, and replay tooling. You're trading one generic queue for another. Right answer if you want to consolidate on a different platform and are happy to write the webhook glue. For the RabbitMQ-specific version of this comparison, see RabbitMQ alternatives for webhooks.

Postgres-backed queues

pg-boss and similar database-backed queues are surprisingly common as SQS replacements at low to moderate volume. The advantage is that your queue is your existing database, one less service, transactional inserts alongside business data, and SQL-based introspection.

The disadvantages start showing up at scale: long-running locks, vacuum pressure on the queue table, and no native fan-out. For a small webhook footprint, it's fine. For a busy production stack with multiple consumers and signature verification needs, it's a stop-gap rather than a destination.

When to keep SQS

Keep SQS when:

• Webhooks are a small part of a much larger AWS messaging footprint. Internal services already speak SQS; the team operates the queues anyway; webhooks are a small part of message volume.
• You're deep in AWS and want everything in one account. IAM, VPC, CloudWatch, and existing Lambdas are your world, and keeping the webhook path inside it has real operational value, and you have engineering capacity to build the webhook glue.
• The workload is internal, not third-party webhooks. SQS is excellent for decoupling your own services. The webhook-specific gaps only bite when the producer is an external provider signing requests.
• Webhook volume is low and stable. No spikes or provider-driven incidents, and no "what payload caused this?" threads. SQS plus a receiver Lambda is fine, and you have other work to do.

The migration argument gets stronger when webhook volume grows, when the receiver Lambda starts handling more providers (each with their own signature scheme), when on-call gets paged for webhook-specific incidents, or when the DLQ becomes a place webhooks disappear into rather than a recovery tool.

Migrating from SQS to Hookdeck Event Gateway

A typical migration runs in shadow mode: stand up the Hookdeck Event Gateway source and connection alongside the existing SQS path, point one provider's webhook at Event Gateway, and let both pipelines run for a few days. Verify retry behaviour, observability, and downstream delivery match. Cut over one provider at a time. Keep SQS for non-webhook internal messaging, the goal isn't to remove SQS from the stack, it's to remove SQS from the webhook path.

For the broader pattern, see managed webhook gateway vs DIY queue-backed infrastructure.

Hookdeck Event Gateway is the managed answer for webhooks

SQS is a strong queue but it's just not a webhook gateway. That gap shows up in every receiver Lambda that has to repeat signature verification, idempotency, and source-specific retry policy in code. The teams that run webhooks at meaningful volume on SQS have written that code, debugged it under spike load, and rebuilt it when a provider changed signature schemes.

Hookdeck Event Gateway is managed webhook infrastructure that replaces the receiver Lambda and the queue for the webhook half of the stack. SQS stays for what it's good at (decoupling your own services) and the webhook boundary becomes one product with one observability surface.

If you're testing this from a local dev server, run hookdeck listen 3000 to forward webhooks to localhost, no ngrok required, and the same source configuration works in CI and production.