Pulsar vs deepstream.io

Overview

deepstream.io

Stacks39

Followers112

Votes41

Apache Pulsar

Stacks118

Followers199

Votes24

deepstream.io vs Pulsar: What are the differences?

Developers describe deepstream.io as "A scalable server for realtime webapps". Scalable Server for Realtime Web Apps with JSON structures that can be read, manipulated and listened to, messages that can be sent to one or more subscribers, and request response workflows, between two clients or servers. 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.

deepstream.io and Pulsar belong to "Realtime Backend / API" category of the tech stack.

Some of the features offered by deepstream.io are:

Stores and syncs data in realtime
Built in node.js
Works for browsers, backend & mobile

On the other hand, Pulsar provides the following key features:

Unified model supporting pub-sub messaging and queuing
Easy scalability to millions of topics
Native multi-datacenter replication

deepstream.io and Pulsar are both open source tools. deepstream.io with 6.14K GitHub stars and 315 forks on GitHub appears to be more popular than Pulsar with 3.77K GitHub stars and 862 GitHub forks.

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Detailed Comparison

deepstream.io	Apache Pulsar
Scalable Server for Realtime Web Apps with JSON structures that can be read, manipulated and listened to, messages that can be sent to one or more subscribers, and request response workflows, between two clients or servers.	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.
Stores and syncs data in realtime;Built in node.js;Works for browsers, backend & mobile;Scales via clustering;Exceptionally fast & easy to use;Open Source and free (MIT License)	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 39	Stacks 118
Followers 112	Followers 199
Votes 41	Votes 24
Pros & Cons
Pros 8 RethinkDB 8 Real-time 6 Node.js 6 Websockets 5 WebRTC	Pros 7 Simple 4 Scalable 3 High-throughput 2 Geo-replication 2 Multi-tenancy Cons 1 Very few commercial vendors for support 1 Only Supports Topics 1 Not jms compliant 1 No guaranteed dliefvery 1 No one and only one delivery

What are some alternatives to deepstream.io, Apache Pulsar?

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.