Google Cloud Pub/Sub vs Pulsar

Overview

Apache Pulsar

Stacks119

Followers199

Votes24

Google Cloud Pub/Sub

Stacks550

Followers428

Votes13

Google Cloud Pub/Sub vs Pulsar: What are the differences?

Developers describe Google Cloud Pub/Sub as "Global service for real-time and reliable messaging and streaming data". Cloud Pub/Sub is a fully-managed real-time messaging service that allows you to send and receive messages between independent applications. You can leverage Cloud Pub/Sub’s flexibility to decouple systems and components hosted on Google Cloud Platform or elsewhere on the Internet. On the other hand, Pulsar is detailed as "Distributed solution providing messaging and queuing for streaming data". Apache Pulsar is a distributed messaging solution developed and released to open source at Yahoo. Pulsar supports both pub-sub messaging and queuing in a platform designed for performance, scalability, and ease of development and operation.

Google Cloud Pub/Sub and Pulsar can be primarily classified as "Realtime Backend / API" tools.

Pulsar is an open source tool with 3.77K GitHub stars and 862 GitHub forks. Here's a link to Pulsar's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

Apache Pulsar	Google Cloud Pub/Sub
Apache Pulsar is a distributed messaging solution developed and released to open source at Yahoo. Pulsar supports both pub-sub messaging and queuing in a platform designed for performance, scalability, and ease of development and operation.	Cloud Pub/Sub is a fully-managed real-time messaging service that allows you to send and receive messages between independent applications. You can leverage Cloud Pub/Sub’s flexibility to decouple systems and components hosted on Google Cloud Platform or elsewhere on the Internet.
Unified model supporting pub-sub messaging and queuing; Easy scalability to millions of topics; Native multi-datacenter replication; Multi-language client API; Guaranteed data durability; Scalable distributed storage leveraging Apache BookKeeper	-
Statistics
Stacks 119	Stacks 550
Followers 199	Followers 428
Votes 24	Votes 13
Pros & Cons
Pros 7 Simple 4 Scalable 3 High-throughput 2 Geo-replication 2 Multi-tenancy Cons 1 LImited Language support(6) 1 Very few commercial vendors for support 1 Only Supports Topics 1 Not jms compliant 1 No guaranteed dliefvery	Pros 9 Easy to set-up and start with 2 A great choice for microservice architecture 2 Efficient and practical for complex systems Cons 2 Need integration with stackdriver for monitoring
Integrations
No integrations available	Google Cloud Functions Cloud Functions for Firebase

What are some alternatives to Apache Pulsar, Google Cloud Pub/Sub?

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

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.

PubNub

PubNub makes it easy for you to add real-time capabilities to your apps, without worrying about the infrastructure. Build apps that allow your users to engage in real-time across mobile, browser, desktop and server.

Pusher

Pusher is the category leader in delightful APIs for app developers building communication and collaboration features.

Amazon SQS

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.

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.

SignalR

SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.