Amazon SQS vs Scheduler API

Overview

Amazon SQS

Stacks2.8K

Followers2.0K

Votes171

Scheduler API

Stacks5

Followers16

Votes0

Amazon SQS vs Scheduler API: What are the differences?

Introduction

Below are the key differences between Amazon Simple Queue Service (SQS) and Scheduler API.

Scalability and Availability: Amazon SQS is a fully managed message queuing service, designed to provide scalability and high availability. It automatically scales up or down based on the message throughput, ensuring that messages are reliably processed. On the other hand, the Scheduler API is used to schedule and run jobs on a defined schedule, but it does not provide automatic scaling or high availability like SQS.
Message Ordering: SQS guarantees the order in which messages are sent and received within a single message group, making it ideal for applications requiring strict message ordering. However, the Scheduler API does not provide any built-in guarantee for message ordering as it primarily focuses on scheduling and running jobs.
Message Retention: SQS allows you to store messages in a queue for up to 14 days, even if they are not processed immediately. This provides flexibility in handling messages that may take longer to process. In contrast, the Scheduler API does not provide any long-term message storage capability as it is primarily focused on scheduling and running jobs.
Job Scheduling Flexibility: The Scheduler API allows you to specify a cron expression or a rate expression to define the schedule for running jobs. This provides flexibility in defining complex schedules based on time or rate. SQS, on the other hand, does not have built-in job scheduling capabilities as it primarily focuses on message queuing.
Visibility Timeout: SQS provides a visibility timeout feature that allows you to control how long a message remains invisible to other consumers after it has been retrieved from the queue. This ensures that a message is not processed by multiple consumers simultaneously. The Scheduler API does not have a visibility timeout feature as it is primarily focused on job scheduling.
Delay Queue: SQS offers a delay queue feature that allows you to delay the delivery of messages for a specified amount of time. This can be useful in scenarios where you want to introduce a delay between the time a message is sent and when it becomes available for processing. The Scheduler API does not have a built-in delay queue functionality.

In summary, Amazon SQS is a scalable and highly available message queuing service that provides features like message ordering, message retention, and visibility timeout. On the other hand, the Scheduler API is primarily focused on scheduling and running jobs, offering flexibility in defining job schedules using cron or rate expressions.

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Advice on Amazon SQS, Scheduler API

MITHIRIDI

Software Engineer at LightMetrics

May 8, 2020

Needs adviceon

Amazon SQS

Amazon MQ

I want to schedule a message. Amazon SQS provides a delay of 15 minutes, but I want it in some hours.

Example: Let's say a Message1 is consumed by a consumer A but somehow it failed inside the consumer. I would want to put it in a queue and retry after 4hrs. Can I do this in Amazon MQ? I have seen in some Amazon MQ videos saying scheduling messages can be done. But, I'm not sure how.

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Comments

Detailed Comparison

Amazon SQS	Scheduler API
Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.	It is a simple API to delay SQS messages. Call our APIs and we'll publish your messages when you need them.
A queue can be created in any region.;The message payload can contain up to 256KB of text in any format. Each 64KB ‘chunk’ of payload is billed as 1 request. For example, a single API call with a 256KB payload will be billed as four requests.;Messages can be sent, received or deleted in batches of up to 10 messages or 256KB. Batches cost the same amount as single messages, meaning SQS can be even more cost effective for customers that use batching.;Long polling reduces extraneous polling to help you minimize cost while receiving new messages as quickly as possible. When your queue is empty, long-poll requests wait up to 20 seconds for the next message to arrive. Long poll requests cost the same amount as regular requests.;Messages can be retained in queues for up to 14 days.;Messages can be sent and read simultaneously.;Developers can get started with Amazon SQS by using only five APIs: CreateQueue, SendMessage, ReceiveMessage, ChangeMessageVisibility, and DeleteMessage. Additional APIs are available to provide advanced functionality.	scheduling ; cancelling scheduled SQS messages; changing the delay for already scheduled messages; checking the status of scheduled messages
Statistics
Stacks 2.8K	Stacks 5
Followers 2.0K	Followers 16
Votes 171	Votes 0
Pros & Cons
Pros 62 Easy to use, reliable 40 Low cost 28 Simple 14 Doesn't need to maintain it 8 It is Serverless Cons 2 Has a max message size (currently 256K) 2 Difficult to configure 2 Proprietary 1 Has a maximum 15 minutes of delayed messages only	No community feedback yet

What are some alternatives to Amazon SQS, Scheduler API?

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

Related Comparisons

Amazon SQS vs Scheduler API: What are the differences?

Introduction

Below are the key differences between Amazon Simple Queue Service (SQS) and Scheduler API.

Scalability and Availability: Amazon SQS is a fully managed message queuing service, designed to provide scalability and high availability. It automatically scales up or down based on the message throughput, ensuring that messages are reliably processed. On the other hand, the Scheduler API is used to schedule and run jobs on a defined schedule, but it does not provide automatic scaling or high availability like SQS.
Message Ordering: SQS guarantees the order in which messages are sent and received within a single message group, making it ideal for applications requiring strict message ordering. However, the Scheduler API does not provide any built-in guarantee for message ordering as it primarily focuses on scheduling and running jobs.
Message Retention: SQS allows you to store messages in a queue for up to 14 days, even if they are not processed immediately. This provides flexibility in handling messages that may take longer to process. In contrast, the Scheduler API does not provide any long-term message storage capability as it is primarily focused on scheduling and running jobs.
Job Scheduling Flexibility: The Scheduler API allows you to specify a cron expression or a rate expression to define the schedule for running jobs. This provides flexibility in defining complex schedules based on time or rate. SQS, on the other hand, does not have built-in job scheduling capabilities as it primarily focuses on message queuing.
Visibility Timeout: SQS provides a visibility timeout feature that allows you to control how long a message remains invisible to other consumers after it has been retrieved from the queue. This ensures that a message is not processed by multiple consumers simultaneously. The Scheduler API does not have a visibility timeout feature as it is primarily focused on job scheduling.
Delay Queue: SQS offers a delay queue feature that allows you to delay the delivery of messages for a specified amount of time. This can be useful in scenarios where you want to introduce a delay between the time a message is sent and when it becomes available for processing. The Scheduler API does not have a built-in delay queue functionality.

Amazon SQS vs Scheduler API

Overview

Amazon SQS vs Scheduler API: What are the differences?