SNS to Lambda vs SNS to SQS to Lambda
Primary advantage of having a SQS in between SNS and Lambda is Reprocessing. Assume that the Lambda fails to process certain event for some reason (e.g. timeout or lack of memory footprint), you can increase the timeout (to max 5 minutes) or memory (to max of 1.5GB) and restart your polling and you can reprocess the older events.
This would not be possible in case of SNS to Lambda, wherein if Lambda fails the event is lost. And even if you configure DLQ you would still have to make provisions for reading that separately and processing the message
So if your events are critical and you don't want to miss out on them, then go for SNS - SQS - Lambda
The other advantage of having SQS is cost saving on Lambda invocations (Thanks @codesinthedark for bringing this up). You can have much better scaling and less cost, as it allows you to process messages in batches. So one lambda can be executed for a batch of 10 messages while in case of direct SNS each message would trigger a lambda invocation.
I think couple of things changed in 2019 and SQS can trigger lambda via event source mapping which is mentioned by @alexs. Related blog post: https://aws.amazon.com/about-aws/whats-new/2018/04/aws-lambda-now-supports-amazon-sqs-as-event-source/
To summarize, you can use SQS to lambda with following benefits:
- Reprocessing events in case of failure and configure how many times a message should be retried before you give up (receive count)
- Longer retention period
- Typically chosen in the scenarios where there is a long running job and the lambda polls one by one from job queue.
you can choose to use SNS:
- If you need to fanout a single message to multiple destinations, say X message should be processed by Y and Z applications. I feel this is the biggest advantage, and if you want reliability in this, you can couple SNS and SQS together.
- You do not care about lost messages. Remember that there are still retry stratergies when using SNS(linear, geometric, exponential etc)
- Typically used in the cases where you can ingest/process messages faster. This can sometimes be a problem as well; imagine a scenario where there is a SNS notification for every email that your business receives and you dont have enough lambda concurrency to process all of them. You can solve this by putting an SQS to consume at your own pace.
In both the cases, there can be duplicate messages(in the cases of retry) and there cannot be order guarantees. If you need one, consider Kinesis streams.
You can now use SQS as en event source
AWS Lambda Adds Amazon Simple Queue Service to Supported Event Sources
Adding to @Arafat Nalkhande's answer here are few benefits of SQS's lambda
In SQS we can put a delay, so that message gets processed after some time, it may be useful in the scenario where data takes time to be available.
SQS can serve as a contingency store, lets say downstream services are unavailable, message can be retained in sqs for 15 days.
SQS does not invoke Lambda. SQS cannot invoke anything. People using Lambda with SQS are running Lambda on an event timer, like once a minute, and every time the function runs it polls SQS to see if there is a message to process.
If you don't need to queue things up and prevent too many Lambda functions from running concurrently then you don't need a queue system like SQS.