StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Realtime Backend API
  5. Firehose.io vs Streamdata.io

Firehose.io vs Streamdata.io

OverviewComparisonAlternatives

Overview

Firehose.io
Firehose.io
Stacks2
Followers16
Votes7
GitHub Stars0
Forks0
Streamdata.io
Streamdata.io
Stacks1
Followers24
Votes2

Firehose.io vs Streamdata.io: What are the differences?

<In this comparison, we will outline the key differences between Firehose.io and Streamdata.io>

1. **Data delivery method**: Firehose.io uses a WebSocket connection to deliver real-time data, providing a continuous stream of updates. In contrast, Streamdata.io utilizes server-sent events (SSE) to deliver data incrementally, making it more suitable for scenarios where only incremental updates are required.
2. **Protocol Support**: Firehose.io primarily supports the WebSockets protocol for data delivery. On the other hand, Streamdata.io supports a broader range of protocols such as HTTP and SSE, offering more flexibility for integrating with different systems and applications.
3. **Caching Mechanism**: Firehose.io does not have built-in caching capabilities, meaning that all data is delivered in real-time without the option to cache or store previous updates. Conversely, Streamdata.io offers built-in caching functionality, allowing users to cache data and retrieve historical updates when needed.
4. **Transformation of Data**: Firehose.io does not provide native support for transforming data before delivery, requiring users to implement their transformation logic separately. In contrast, Streamdata.io offers the ability to apply transformations to the data in-flight, enabling users to manipulate the data format or structure before it is delivered.
5. **Client-side SDKs**: Firehose.io does not offer client-side SDKs, which may require users to implement custom solutions for integrating the service into their applications. Conversely, Streamdata.io provides client-side SDKs for popular programming languages, simplifying the integration process for developers.
6. **Authentication and Security**: Firehose.io offers robust authentication mechanisms for securing real-time data delivery, including support for API keys and OAuth tokens. Streamdata.io also provides security features such as API key authentication but may have limitations in terms of advanced security protocols compared to Firehose.io.

In Summary, Firehose.io and Streamdata.io differ in their data delivery methods, protocol support, caching mechanisms, data transformation capabilities, availability of client-side SDKs, and authentication/security features.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Firehose.io
Firehose.io
Streamdata.io
Streamdata.io

Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.

Streamdata.io is a real-time cache proxy allowing you to poll JSON REST APIs and push updates to clients. Streamdata.io also keeps a history of modifications that occur on the data between two pollings. This way, streamdata.io is able to give you the list of modifications which happened since last time you fetched the data.

Firehose embraces RESTful design prinicpals and consequently works great with any library that speaks HTTP;Integrates with Backbone.js and Ember.js;Hook it into an ORM, like ActiveRecord
-
Statistics
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
2
Stacks
1
Followers
16
Followers
24
Votes
7
Votes
2
Pros & Cons
Pros
  • 2
    Rails gem
  • 2
    Works with ActiveRecord
  • 2
    RESTful
  • 1
    Clean way to build real-time web applications
Pros
  • 1
    Best way to stream a static API
  • 1
    The quickest way to turn any existing API into stream
Integrations
Backbone.js
Backbone.js
Ember.js
Ember.js
No integrations available

What are some alternatives to Firehose.io, Streamdata.io?

Firebase

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

Socket.IO

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

PubNub

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

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

SignalR

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.

Ably

Ably

Ably offers WebSockets, stream resume, history, presence, and managed third-party integrations to make it simple to build, extend, and deliver digital realtime experiences at scale.

Syncano

Syncano

Syncano is a backend platform to build powerful real-time apps more efficiently. Integrate with any API, minimize boilerplate code and control your data - all from one place.

NATS

NATS

Unlike traditional enterprise messaging systems, NATS has an always-on dial tone that does whatever it takes to remain available. This forms a great base for building modern, reliable, and scalable cloud and distributed systems.

SocketCluster

SocketCluster

SocketCluster is a fast, highly scalable HTTP + realtime server engine which lets you build multi-process realtime servers that make use of all CPU cores on a machine/instance. It removes the limitations of having to run your Node.js server as a single thread and makes your backend resilient by automatically recovering from worker crashes and aggregating errors into a central log.

deepstream.io

deepstream.io

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase