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Apache Pulsar VS Amazon SQS

Compare Apache Pulsar VS Amazon SQS and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Apache Pulsar logo Apache Pulsar

Apache Pulsar is an open-source, distributed messaging and streaming platform built for the cloud.

Amazon SQS logo Amazon SQS

Amazon Simple Queue Service is a fully managed message queuing service.
  • Apache Pulsar Landing page
    Landing page //
    2023-12-17
  • Amazon SQS Landing page
    Landing page //
    2023-03-22

Apache Pulsar videos

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Introduction to Apache Pulsar Basics

Amazon SQS videos

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Speed and Reliability at Any Scale: Amazon SQS and Database Services (SVC206) | AWS re:Invent 2013

Category Popularity

0-100% (relative to Apache Pulsar and Amazon SQS)

Apache Pulsar

Amazon SQS

Developer Tools
100 100%
Developer Tools
0% 0
Data Integration
11 11%
Data Integration
89% 89
Stream Processing
0 0%
Stream Processing
100% 100
Web Service Automation
14 14%
Web Service Automation
86% 86

User comments

Share your experience with using Apache Pulsar and Amazon SQS. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Pulsar and Amazon SQS

Apache Pulsar Reviews

Best message queue for cloud-native apps
Pulsar also provides a rich set of client libraries for various programming languages, making it easy to build messaging and streaming applications using Pulsar. Apache Pulsar is a popular choice for real-time data processing and messaging in large-scale data processing applications, such as those used in the financial, telecommunications, and internet-of-things industries.
Source: docs.vanus.ai

Amazon SQS Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
Amazon SQS offers standard features such as dead-letter queues and costs allocation tags. With Amazon SQS, you can access the web services API in any programming language that supports the AWS SDK.
Source: hevodata.com
Top 15 Kafka Alternatives Popular In 2021
Amazon SQS (Simple Queue Service) is a fully managed, message queuing service for distributed systems, serverless applications, and microservices. It is known for the dissociation of components and the creation of effective asynchronous processes. It possesses a good SKD and a useful console. Because of its salient features, it is easy to use and hence favored by developers.
Source: www.spec-india.com

Social recommendations and mentions

Based on our record, Amazon SQS seems to be a lot more popular than Apache Pulsar. While we know about 65 links to Amazon SQS, we've tracked only 1 mention of Apache Pulsar. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Pulsar mentions (1)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 4 months ago

Amazon SQS mentions (65)

  • Event-Driven Architecture on AWS
    Event Routers: Services like Amazon SQS (A managed message queuing), Amazon SNS (A pub/sub messaging), AWS Step Functions (An orchestrate serverless workflows) and Amazon EventBridge (A serverless event bus) act as event routers, establishing the paths and flow for messages within the architecture. They enable seamless handling and distribution of events, ensuring that each message reaches its intended destination... - Source: dev.to / about 2 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    SQS - 1 million messaging queue requests. - Source: dev.to / 4 months ago
  • Building Mature Content Detection for Mod Tools
    The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system... Source: 7 months ago
  • Testing Serverless Applications on AWS
    For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 8 months ago
  • The Role of Queues in Building Efficient Distributed Applications
    Amazon SQS is a fully managed message queue service that provides a reliable and scalable solution for asynchronous messaging between distributed components and microservices. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Apache Pulsar and Amazon SQS, you can also consider the following products

RabbitMQ - RabbitMQ is an open source message broker software.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

NATS - NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.

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

Amazon SNS - Fully managed pub/sub messaging for microservices, distributed systems, and serverless applications

Redpanda - Redpanda is a powerful, yet simple, and cost-efficient streaming data platform that is compatible with Kafka® APIs while eliminating Kafka complexity.

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