Notification System Architecture

SNS vs SQS for Notifications: Why You Actually Use Both

Gaurav Verma
May 22, 2026
TABLE OF CONTENTS

Last Updated: May 2026

"Should I use SNS or SQS for my notification system" is the wrong question. The right question is "should I use SNS, SQS, or SNS-fanning-out-to-SQS." Most production AWS notification systems use the third option, and the two services are not competitors. They solve different problems and compose naturally.

This guide walks through what SNS and SQS each do, when one is enough, when the other is enough, and when you want both. It covers the SNS-to-SQS fan-out pattern (the canonical AWS notification architecture), the cost differences that matter at volume, and the third option that changes the build-vs-buy math.

What SNS and SQS Are (Quickly)

Amazon SNS (Simple Notification Service) is a publish-subscribe service. Publishers send messages to a topic; subscribers (Lambda functions, SQS queues, HTTP endpoints, email, SMS, mobile push) receive them. SNS pushes messages out as soon as it receives them. It does not persist them; if no subscriber is listening, the message is gone.

Amazon SQS (Simple Queue Service) is a managed message queue. Producers put messages into a queue; consumers poll the queue and pull messages off. Messages persist in SQS for up to 14 days (default 4 days, configurable). Each message is delivered to one consumer (not fanned out).

The cleanest one-line mental model: SNS broadcasts, SQS queues. SNS sends one message to many subscribers in parallel. SQS sends one message to one consumer at a time, with persistence and retry.

They Solve Different Problems

Generic "SNS vs SQS" content treats them as alternatives. They are not. The difference matters most in two scenarios.

Scenario A: an order is placed and you need to fan out to multiple downstream systems. Send email confirmation, send shipping system event, send analytics event, send Slack alert. Four independent consumers, each needs their own copy. SNS is built for this; SQS by itself is not (one message, one consumer).

Scenario B: a user signs up and you need to send a welcome email reliably with retry. One message, one consumer (the email worker), needs to survive worker crashes and retry on Twilio/SendGrid failures. SQS is built for this; SNS by itself is not (SNS does not persist; if the subscriber is down, the message is lost).

Most real notification systems have both scenarios in the same architecture. That is why the AWS recommended pattern is SNS topic publishing to multiple SQS queues, one per consumer. SNS handles the fan-out; SQS handles the per-consumer durability and retry. Both, not either.

Head-to-Head Comparison

Dimension SNS SQS
Pattern Publish/subscribe (push) Queue (pull/poll)
Consumers per message Many (one per subscription) One (per message, one consumer)
Persistence None; delivered or lost 1 minute to 14 days
Delivery guarantee At-least-once, best effort At-least-once (Standard) or exactly-once (FIFO)
Ordering None (Standard); FIFO topics available None (Standard); FIFO available
Retry on consumer failure Subscription-level retry policy (3–4 retries by default for HTTP/HTTPS) Consumer-driven; message returns to queue if not deleted within visibility timeout
Dead letter queue Subscription-level DLQ via redrive policy Native DLQ support
Max message size 256KB (262,144 bytes) 256KB (262,144 bytes); 2GB via Extended Client with S3
Delay None at topic level (per-subscription delay possible via Lambda) Up to 15 minutes per message via DelaySeconds
Throughput Thousands of messages per second per topic (raises with FIFO high-throughput) Nearly unlimited (Standard); 300 msgs/sec (FIFO) or 3,000 msgs/sec (FIFO high-throughput)
Cost (rough) $0.50 per million publishes + delivery fees per protocol $0.40 per million requests (Standard); $0.50 (FIFO)

Three rules for reading the comparison:

Both are at-least-once. Build idempotency into your consumers regardless of which service. Duplicate notifications happen with both; the difference is how often, not whether.

SNS does not have native delay. If you need "send this in 24 hours," SQS DelaySeconds gives you up to 15 minutes. For longer delays, you need EventBridge Scheduler in front of either service.

FIFO matters less for notifications than people think. Each notification is typically self-contained (an OTP does not depend on the previous OTP's order). FIFO adds cost and reduces throughput; reach for it only when ordering is provably load-bearing.

When SNS Alone Is Enough

SNS-only architectures work for notification systems with three characteristics:

  • Subscribers are always available. Lambda functions, HTTPS endpoints with high uptime, or downstream services that auto-scale.
  • Acceptable to lose a message under transient consumer outage. SNS's HTTP/HTTPS subscribers get 3-4 retries (configurable up to 100 with redrive); after that the message is dropped unless you have a DLQ wired up.
  • Each event fires once at the source and fans out. Order placed, email + Slack + analytics, all three should receive the event independently.

Examples: alarm notifications fanning out to email + Slack + PagerDuty; an event-driven microservice broadcasting state changes to a handful of downstream consumers; mobile push notifications going directly through SNS Mobile Push (which is one of SNS's native protocols, no SQS needed).

SNS-only is simpler operationally. There is no consumer-side polling logic to write. Lambda subscribers receive the event and process it, charged per invocation.

When SQS Alone Is Enough

SQS-only architectures work for notification systems where:

  • There is one logical consumer per message. The email worker processes the email job; nobody else needs to see it.
  • You need durability across consumer restarts. If the worker crashes mid-job, the message returns to the queue and a different worker picks it up.
  • You need per-message backpressure. Slow consumer? Messages pile up in the queue without affecting the producer.

Examples: a queue feeding an SMS dispatcher that calls Twilio; a queue feeding a worker that renders email templates and calls SendGrid; a queue feeding a batch processor that aggregates pending notifications into digests.

The downside of SQS-only is loss of fan-out. If you need email AND Slack AND analytics for the same event, you either publish to three queues (which means the producer has to know about all three consumers) or put SNS in front.

The Canonical Pattern: SNS Fan-Out to SQS Queues

The pattern most production AWS notification systems use is SNS topic to multiple SQS queues, one per consumer. The producer publishes one message to SNS; SNS delivers a copy to each subscribed SQS queue; each consumer polls its own queue with its own retry and DLQ semantics.

Why this works so well for notifications:

  • Producer simplicity. The application calls one SNS publish. It does not need to know which downstream consumers exist; that is configured at the SNS topic level.
  • Independent consumer scaling. The email worker can be slow without blocking the SMS worker. Each queue absorbs its own backpressure.
  • Independent failure handling. Email worker dies, messages pile in the email queue, other queues unaffected. Each queue has its own DLQ.
  • Add consumers without changing producer code. New requirement, "also send an analytics event"? Add a new SQS queue subscribed to the SNS topic. Producer code untouched.
  • Replay per consumer. If you need to reprocess the last hour of email-worker traffic, you can re-drive from that queue's DLQ or backfill from a separate audit log.

The pattern is documented as SNS fan-out in AWS's official guidance and is the default starting point for most AWS-native notification architectures.

Cost: The Dimension Most Comparisons Skip

At small scale, SNS and SQS are nearly free; the cost decision does not matter. At volume, the math shifts.

SNS pricing. $0.50 per million publishes. Delivery to SQS is $0 (within AWS); delivery to HTTP/HTTPS is $0.60 per million; delivery to SMS/email has its own per-message cost (which is large for SMS, small for email, varies by region).

SQS pricing. $0.40 per million requests (Standard). Each poll counts as a request, so an idle consumer polling every second is 86,400 requests per day per consumer queue. Long polling (up to 20 seconds) cuts this dramatically. Cost matters most for many-queue architectures where consumers idle.

For a notification system sending 10 million notifications per month fan-out to 3 consumers:

  • SNS-only: 10M publishes + 30M HTTPS deliveries = ~$23/month
  • SNS + 3 SQS queues with long polling: 10M SNS publishes + 30M SQS requests (assuming long polling) = ~$17/month
  • SQS-only with producer fan-out (publisher writes to 3 queues): 30M SQS requests + producer complexity = ~$12/month + engineering time

Costs are usually the third-tier consideration. Operational simplicity and consumer reliability matter more in practice. But cost becomes a factor at 100M+ messages/month, especially with many fan-out branches.

Decision Framework

Your Situation Recommendation
One event fires, multiple downstream consumers need it (email, SMS, analytics, audit) SNS fan-out to SQS queues. The canonical pattern.
One event fires, one Lambda or HTTPS endpoint consumes it SNS alone, with DLQ via redrive policy.
Pipeline of work where each message goes to one worker, with retry SQS alone (Standard or FIFO based on ordering needs).
Cross-region or cross-account event distribution SNS (native cross-region support; EventBridge if more complex routing needed).
Need delay scheduling under 15 minutes SQS with DelaySeconds.
Need delay scheduling over 15 minutes EventBridge Scheduler publishing to SNS or SQS at the target time.
Mobile push notifications direct to APNs/FCM SNS Mobile Push as the gateway protocol, or use a notification infrastructure platform that abstracts the gateway.
Reading this article and questioning whether to build at all Evaluate SuprSend's free tier. SNS and SQS are infrastructure; notifications are a product surface area, and the platform abstracts the queue choice.

For the broader landscape of message queue options for notifications, see choosing the right message queue technology for your notification system. For specific head-to-head comparisons with adjacent options, see Kafka vs SQS and Kinesis vs SQS.

Where SuprSend Fits

SNS and SQS are infrastructure layers. They handle the message movement well; what they do not handle is everything else a notification system needs: template rendering with per-channel formatting, per-recipient timezone math, vendor selection and failover, preference enforcement, observability, and the workflow logic that ties it all together. Teams using SNS+SQS for notifications still build all of that on top.

SuprSend's architecture uses the AWS pattern (or equivalent) internally for queue separation by notification category (System, Transactional, Promotional), so critical traffic is not blocked by promotional batches. The difference is that customers do not provision or manage SNS topics, SQS queues, DLQ redrive policies, or any of the supporting workflow infrastructure. The decision becomes "what category does this notification belong to" instead of "how many SQS consumers do I need."

For AWS-native teams that want to stay in their AWS deployment, SuprSend can run as self-hosted with the queue layer inside the customer's own AWS account. The pattern is the same; the operational responsibility differs. For teams running with SuprSend's MCP Server and Agent SDK to let AI agents send notifications, the same category-driven queue separation applies; the agent does not pick SNS or SQS.

The build-vs-buy framing here is similar to other infrastructure choices. SNS and SQS are well-designed primitives. Composing them into a production notification system is a 6-12 month engineering investment, on top of the queue choice. The build vs buy for notification service guide walks through the full cost model.

FAQ

Is SNS or SQS better for notifications?

Neither is universally better because they solve different problems. SNS is for fan-out (one event, many consumers). SQS is for durable queueing (one message, one consumer, with retry). Most production notification systems use SNS fan-out to multiple SQS queues, one per consumer. The "vs" framing is misleading; the more useful question is "which combination do I need."

What is the SNS-to-SQS fan-out pattern?

An SNS topic is created with multiple SQS queue subscriptions. The producer publishes once to SNS; SNS delivers a copy of the message to each subscribed SQS queue. Each consumer polls its own queue with its own retry and DLQ semantics. This is the canonical AWS notification architecture for events that need to fan out to multiple independent downstream systems.

Can SNS send to email and SMS directly?

Yes. SNS has native support for email, SMS (in supported regions), and mobile push (APNs, FCM) as subscription protocols. This is useful for simple use cases. Production systems typically prefer dedicated transactional vendors (SendGrid, Postmark, Twilio) for email and SMS because of better deliverability, templating, and analytics, with SNS reserved for internal event distribution.

What is the maximum delay SQS supports?

SQS DelaySeconds maxes out at 900 seconds (15 minutes) per message. For delays longer than 15 minutes, use EventBridge Scheduler to publish to SQS at the target time, or use a Redis sorted set as a separate scheduling layer.

Does SNS guarantee message delivery?

At-least-once, best effort. SNS retries delivery to HTTP/HTTPS subscribers up to 3 times by default (configurable up to 100 with a redrive policy and DLQ). If retries exhaust without success and no DLQ is configured, the message is dropped. SNS does not persist messages once they are delivered to all subscribers or fail out of retry.

What happens if my SQS consumer dies mid-message?

The message becomes visible again in the queue after the visibility timeout expires (default 30 seconds, configurable). Another consumer (or the restarted consumer) picks it up and processes it. This is why notification handlers must be idempotent; retrying mid-process is the normal case, not the exception.

How does SNS pricing compare to SQS?

SNS is $0.50 per million publishes plus per-protocol delivery fees (HTTPS, SMS, email). SQS is $0.40 per million requests (Standard) where each poll counts as a request. For high-fan-out systems (one event going to many consumers), SNS fan-out to SQS queues is usually cheaper than the producer writing directly to all queues, because the producer only pays for one publish.

Should I use SNS FIFO or SQS FIFO for ordered notifications?

If you genuinely need ordering, yes. Both SNS FIFO and SQS FIFO are available, often used together. The cost is significantly lower throughput (300 messages per second per topic/queue for standard FIFO; 3000/sec for high-throughput FIFO) and higher per-message price. For most notifications, ordering does not matter; each notification is self-contained. Use FIFO only when the order of two notifications meaningfully changes the user's experience.

TL;DR

SNS and SQS are not competitors. SNS is publish-subscribe (one event, many consumers, no persistence). SQS is a queue (one message, one consumer, persistent with retry). Most production notification systems use SNS fan-out to SQS queues, one per consumer, getting both fan-out and per-consumer durability. SNS-only works when subscribers are reliable and messages can be lost on transient failure. SQS-only works for single-consumer pipelines. The canonical pattern is both. Above the queue layer sits the actual notification system (workflow logic, templates, vendor routing, observability, preferences) which neither SNS nor SQS provides; that is the part SuprSend abstracts.

Next Steps

If you want to skip building the queue + workflow + template + preference layer yourself, the simplest path is to start building for free on SuprSend's free tier (10,000 notifications/month, all channels, no credit card) and trigger a multi-channel workflow without provisioning any SNS topics or SQS queues. If you want to walk through your specific AWS-native architecture with our team, book a demo.

Written by:
Gaurav Verma
Co-Founder, SuprSend
Implement a powerful stack for your notifications
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