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deepstream.io vs Firebase

This deepstream.io vs Firebase comparison was created based on reviews from developers and our best attempts to perform analysis by looking at documentation and other publicly available resources.

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deepstream.io

Firebase

Getting started and developer experience

Time to "hello world"

Reviewed by 3+ independent developers

Ratings were given based on the average amount of time it takes to sign up to a new account and publish the first message.

4 / 5

5 = <30 min
4 = 30 min - 1 h
3 = 1-2 h
2 = 2-4 h
1 = 4+ h

View code example
3 / 5

5 = <30 min
4 = 30 min - 1 h
3 = 1-2 h
2 = 2-4 h
1 = 4+ h

View code example

Demos / Tutorials

A selection of online demos and tutorials so you can test and see the code in action.

Explore Ably's tutorials for our pub/sub messaging platform

Documentation

Reviewed by 3+ independent developers

Explore Ably's documentation for our pub/sub messaging platform
4 / 5

Getting started guides / 5

Information architecture and developer journey / 5

API reference documentation / 5

Readability, design and navigation / 5

Quality of code / 5

Breadth and quality of tutorials / 5

The deepstream.io documentation is nicely written and features several components: GitHub, guides, tutorials, docs, blog, and miscellaneous info, such as FAQs. There’s a Getting Started guide using HTTP API, JavaScript Client API, and Java Client API, with code snippets throughout. The API reference is detailed for each SDK and information architecture is pretty nice. Most sections of the documentation are well cross-linked; however, the navigation experience could be improved, especially around the API reference – some links return 404. Also, some documentation pages need to be revamped. The documentation provides tutorials for most deepstream.io features but unfortunately, there’s no demos. The documentation for the core features (data-sync, records, auth, permissions, events, rpc, etc.) is well written, but could be more detailed.

4 / 5

Getting started guides / 5

Information architecture and developer journey / 5

API reference documentation / 5

Readability, design and navigation / 5

Quality of code / 5

Breadth and quality of tutorials / 5

“Good getting started guides, across various languages. The API reference documentation is very detailed, but it lacks any interactivity, which is not great, considering that there's a lot of content. There are a few Codelabs and several multi-feature samples of apps built with Firebase, to showcase functionality, but nothing else that can be regarded as a tutorial. Documentation could be enhanced by including some extra code samples throughout. You can find a lot of samples on GitHub, but you have to do some digging. Including more end-to-end use cases directly in the docs would improve the overall developer experience.”

Dashboard or dev console

Reviewed by 3+ independent developers

Sign up for free and explore Ably's pub/sub messaging platform
4 / 5

Ease of use / 5

Stats and reports / 5

Functionality / 5

The deepstream.io dashboard might be a bit overwhelming to use or understand without documentation. The dashboard allows you to explore realtime data, configure permission, as well as view important metrics over time such as total messages used, active connections, cluster size, and CPU usage.

The UI design is a bit outdated and could perhaps benefit from a revamp.

4.67 / 5

Ease of use / 5

Stats and reports / 5

Functionality / 5

“The dev console has a wide range of features available, grouped into five main categories: Project Overview (basically your dashboard), Develop - where you handle everything from auth to storage and serverless functions invocation, Quality - where you can view crash reports and latency stats, Analytics - which includes various stats, including GA, and, finally, Grow - where you can do stuff like A/B testing. Navigation is intuitive, but all the functionality available can be a bit too much if you're new to Firebase, and it takes some time to be able to master it all.”

SDKs

Note: Only official SDKs were taken into account.

Explore Ably's 25+ SDKs for our pub/sub messaging platform

3 SDKs

Including:

  • JavaScript 

  • Java

  • Android

9 SDKs

Including:

  • JavaScript

  • Android

  • Unity

API structure

Reviewed by 3+ independent developers

3 / 5

API consistency across SDKs / 5

Well structured / 5

Intuitive / 5

Simple / 5

deepstream.io tries to keep its APIs as consistent as possible across SDKs on the client side. However, the APIs are quite complex and counter-intuitive – too many methods make it not straightforward to perform operations in the same order. There’s a separate reference page for each API, which is not great. Developers need to take their time to go through the API reference to be able to use them properly. Documentation and tutorials are helpful in this regard.

4.50 / 5

API consistency across SDKs / 5

Well structured / 5

Intuitive / 5

Simple / 5

“APIs are well documented (even if it’s in a boring way), and the methods are generally easy to read through and can be understood fairly quickly. APIs are straightforward and easy enough to use; there are however slight inconsistencies across SDKs“.

deepstream.io

Firebase

"Hello world" code example
// Client A
function eventCallback (data) {
    //callback for incoming events 
}

//Subscribing to an event 
client.event.subscribe ('news/sports' , eventCallback)

//Removing specific callback to the event
client.event.unsubscribe ('news/sports' , eventCallback)

//Removing all subscriptions to the event
client.event.unsubscribe ('news/sports')

// Client B
client.event.emit ('news/sports' , 'football is happening' )

// Client B
client.event.listen ('^news /.*' , (match, response) => {
    console.log(match) // 'news/sports'
    if (/* if you want to provide */) { 
        // start publishing data via ` client.event.emit(eventName, /* data */)`
        response.accept()

        response.onStop(() => {
            // stop publishing data
        }) 
    } else {
        response.reject() // let deepstream ask another provider
    }
})
// SUBSCRIBE CLIENT APP TO A TOPIC 
// These registration tokens come from the client FCM SDKs.
var registrationTokens = [
  'YOUR_REGISTRATION_TOKEN_1',
  // ...
  'YOUR_REGISTRATION_TOKEN_n'
];
 
// Subscribe devices to the topic
admin.messaging().subscribeToTopic(registrationTokens, topic)
  .then(function(response) {
    console.log('Successfully subscribed to topic:', response);
  })
  .catch(function(error) {
    console.log('Error subscribing to topic:', error);
  });
 
// SENDING MESSAGES TO A TOPIC
var condition = "'stock-GOOG' in topics || 'industry-tech' in topics";
 
var message = {
  notification: {
    title: '$FooCorp up 1.43% on the day',
    body: '$FooCorp gained 11.80 points to close at 835.67, up 1.43% on the day.'
  },
  condition: condition
};
 
// Send a message to devices subscribed to the combination of topics
admin.messaging().send(message)
  .then((response) => {
    console.log('Successfully sent message:', response);
  })
  .catch((error) => {
    console.log('Error sending message:', error);
  });

deepstream.io

Firebase

Realtime features

Pub/Sub messaging

Pub/Sub is a design pattern that lets any number of publishers (producers) push messages to channels (also known as topics). Multiple subscribers (consumers) can subscribe to a channel to consume published messages.

Explore Ably's pub/sub messaging implementation

Message queues

A message queue is a form of asynchronous service-to-service communication. Messages are stored on a queue until they are processed. Note that each message is only consumed by one subscriber (consumer).

Explore Ably's message queues implementation

Presence

Presence enables you to track the online and offline status of devices and end-users in real time and to store their state. Essential for chat apps and multiplayer games.

Explore Ably's presence implementation

Message history

Message history provides a means to retrieve previously published messages. For this to be possible, message data must be stored (persisted) somewhere.

Explore Ably's message history implementation

Connection state recovery (stream resume)

In the case of unreliable network conditions, clients may suddenly disconnect.Connection state recovery ensures that when they reconnect, the data stream resumes exactly where it left off.

Explore Ably' s connection state recovery implementation

Guaranteed message ordering

Ordering ensures that messages are delivered to consumers in the same order that producers publish them.

Explore Ably' s guaranteed message ordering implementation

Exactly-once semantics

Exactly-once is a system-wide data integrity guarantee that ensures each message is delivered to consumers exactly-once.

Explore Ably' s idempotent publishing implementation

Message delta compression

Message delta compression enables you to only send the changes from the previous message to subscribers each time there’s an update, instead of the entire message. Useful for use cases where there is a significant degree of similarity between successive messages.

Explore Ably' s message delta compression implementation

Native push notifications

Native push notifications can be used to deliver messages even when clients are offline. Useful for geolocation updates or news alerts.

Explore Ably's push notifications implementation

Webhooks

Webhooks provide a mechanism to get messages and other types of events (such as clients entering or leaving channels) pushed to your servers over HTTP.

Explore Ably's webhooks implementation

Limited

deepstream.io only uses webhooks for user authentication.

Serverless functions

A serverless function is essentially an isolated, single-purpose piece of code that is only executed when it’ triggered by an event. For example, you can use serverless functions to send a welcome message to clients when they become present on chat channels.

Note that serverless functions are usually fully managed by cloud vendors.

Explore Ably's serverless functions implementation

Limited

Can only trigger Cloud Functions for Firebase. Does not support other serverless platforms, such as AWS Lambda or Azure Functions.

Built-in integrations

Which popular services & systems are deepstream.io and Firebase integrated with?

Explore Ably's library of integrations

Webhooks

  • Custom
  • IFTTT
  • Zapier

Serverless functions

  • AWS Lambda
  • Cloudflare Workers
  • Google Cloud Functions
  • Microsoft Azure Functions

Streaming

  • Apache Kafka
  • Apache Pulsar
  • Amazon Kinesis
  • Amazon SQS
  • RabbitMQ
  • AMQP

Webhooks

  • Custom
  • IFTTT
  • Zapier

Serverless functions

  • AWS Lambda
  • Cloudflare Workers
  • Google Cloud Functions
  • Microsoft Azure Functions

Streaming

  • Apache Kafka
  • Apache Pulsar
  • Amazon Kinesis
  • Amazon SQS
  • RabbitMQ
  • AMQP

Known limits and constraints

Find out practical limits, such as the maximum message size, or the maximum number of concurrent connections.

Explore the practical limits of the Ably pub/sub messaging platform

Publisher throughput 

160.000-200.000 updates per second for Single Node

4,000,000,000 messages per hour for Cluster

Maximum message size

1MB 

Maximum number of topics

Unknown

Maximum number of connections

250 for Single Node

750 for Cluster

The information below applies to Firebase Cloud Messaging:

Throughput 

240 messages/minute and 5.000 messages/hour to a single device

Maximum message size

4KB

Maximum number of topics

No limit on the total number of topics, but an app instance can be subscribed to no more than 2000 topics.

Maximum number of concurrent connections

2.500 connections per project

Supported development platforms, languages, open protocols and cloud models

Development platforms & operating systems

Which popular development platforms and operating systems do deepstream.io and Firebase support via official SDKs?

Explore the development platforms supported by Ably
  • Android
  • Java / JVM
  • iOS
  • macOS
  • iPadOS
  • tvOS
  • watchOS
  • Mono
  • .NET
  • Android
  • Java / JVM
  • iOS
  • macOS
  • iPadOS
  • tvOS
  • watchOS
  • Mono
  • .NET

Languages

Which popular programming languages do deepstream.io and Firebase support via offical SDKs?

Explore the programming languages supported by Ably
  • JavaScript
  • Node.js
  • TypeScript
  • Java
  • Objective-C
  • Swift
  • Go
  • PHP
  • Python
  • Ruby
  • Flutter
  • Clojure
  • Scala
  • JavaScript
  • Node.js
  • TypeScript
  • Java
  • Objective-C
  • Swift
  • Go
  • PHP
  • Python
  • Ruby
  • Flutter
  • Clojure
  • Scala

Open protocols

Which popular open protocols do deepstream.io and Firebase support?

Explore the open protocols supported by Ably
  • WebSocket
  • HTTP
  • AMQP
  • MQTT
  • STOMP
  • SSE
  • Webhooks
  • WebSocket
  • HTTP
  • AMQP
  • MQTT
  • STOMP
  • SSE
  • Webhooks

Cloud models

Which popular cloud models do deepstream.io and Firebase support?

  • Self-hosted
  • Cloud-managed
  • Serverless
  • Globally-distributed
  • Self-hosted
  • Cloud-managed
  • Serverless
  • Globally-distributed
Global and reliable edge service

Edge messaging network with latency-based routing

Latency-based routing ensures that clients are always routed to the nearest datacenter and point of presence.

Explore Ably's routing mechanism that mitigates network and DNS issues

Limited

Edge-optimized, dynamic datacenter selection is available only for the Cloud Firestore component.

Multi-region data replication (message durability)

Multi-region data replication (storage) protects against single points of failure and ensures message data durability.

Learn how Ably ensures message durability

Limited

deepstream.io stores data in a combination of storage and cache layers for distribution across multiple nodes. However this platform also relies on shared devices such as a Redis for a message bus which itself (Redis layer) might become a point of failure and congestion.

Uptime SLAs

Here’s what the most common SLAs amount to in terms of downtime over a calendar year:

99.999% SLA = 5m 15s downtime per year

99.99% SLA = 52m 35s downtime per year

99.95% SLA = 4h 22m 58s downtime per year

99.9% SLA = 8h 45m 56s downtime per year

99% SLA = 3d 15h 39m 29s downtime per year

Source: https://uptime.is/

No specific uptime SLA

99.95% for Firebase Hosting and the Realtime Database.

99.99 % if you are using Cloud Firestore in a single-region configuration.

99.999% if you are using Cloud Firestore in a multi-region configuration.

Unclear what SLAs (if any) are provided for the rest of the Firebase services. 

Quality of Service

What QoS guarantees do deepstream.io and Firebase provide natively?

Explore Ably's availability and uptime guarantees for our pub/sub messaging platform
  • Multi-region data replication (storage)
  • Exactly-once semantics
  • Guaranteed message ordering
  • Connection state recovery (stream resume)
  • Multi-region data replication (storage)
  • Exactly-once semantics
  • Guaranteed message ordering
  • Connection state recovery (stream resume)
Security

API key authentication

The simplest way to authenticate. Involves using private API keys that you can usually create and edit via a dashboard. Recommended to be used server-side, as private API keys shouldn’t be shared with untrusted parties.

Explore Ably's implementation of API key authentication

Token-based authentication

Which popular token-based authentication mechanisms do deepstream.io and Firebase support?

Note that token-based authentication is usually the recommended strategy on the client-side as it provides more fine-grained access control and limits the risk of credentials being compromised.

Explore Ably's implementation of token-based authentication
  • Ephemeral tokens
  • JWTs
  • Ephemeral tokens
  • JWTs

Configurable rules and permissions

Which types of configurable rules and permissions do deepstream.io and Firebase support?

Explore Ably's configurable rules and permissions
  • API keys rules and permissions
  • Operation rules and permissions
  • Admin rights
  • API keys rules and permissions
  • Operation rules and permissions
  • Admin rights

Message encryption

Which types of message encryption do deepstream.io and Firebase support?

Explore Ably's message encryption mechanisms
  • Encrypted at rest
  • Encrypted in transit
  • Message payload encryption
  • Encrypted at rest
  • Encrypted in transit
  • Message payload encryption

Formal certifications

Which formal certifications are deepstream.io and Firebase compliant with?

Explore Ably's security and compliance for our pub/sub messaging platform
  • SOC 2 TYPE I
  • SOC 2 Type II
  • HIPAA
  • EU GDPR
  • SOC 2 TYPE I
  • SOC 2 Type II
  • HIPAA
  • EU GDPR
Pricing & Support

Free package

What do the free packages offered by deepstream.io and Firebase consist of?

Explore Ably's free package for our pub/sub messaging platform

N/A

The Spark plan includes several products from the Firebase suite that are entirely free to use, such as cloud messaging (FCM) or in-app messaging. The Spark plan also allows for free usage of most of the other products, up to certain limits. Some examples: first 125k/month Cloud Functions invocations free, 10 GB of free storage (hosting), and 1 GiB of free storage in Cloud Firestore.

Pricing model

How are the deepstream.io and Firebase pricing models calculated?

Explore Ably's pricing model for our pub/sub messaging platform

deepstream.io pricing is usage-based and calculated per hour.

$0.052 per hour for a six-instance cluster on AWS EC2  t2.medium

$0.008 per hour for a single node on cache.t2.medium

It’s unclear how pricing is calculated for the Enterprise package.

Firebase offers two pricing plans: the Spark plan (free) and the Blaze plan (pay as you go), which is recommended for building apps at scale.

Most Firebase products are entirely free to use for both plans, with hard limits on some products for the Spark plan (and some missing features, too).  The Blaze plan includes the free usage from the Spark plan and allows access to all Firebase features and products. On top of that, pricing is calculated monthly based on a multitude of factors, such as message ingestion & delivery, document read, write, delete operations, data storage, hosting, or function invocations. For example, Cloud Firestore storage is calculated at $0.18/GiB, and hosting is calculated at $0.026/GB.

Enterprise package

What benefits do the deepstream.io and Firebase enterprise packages offer?

Explore Ably's enterprise package for our pub/sub messaging platform

No Enterprise package is explicitly specified. However, it can be obtained by contacting the vendor directly.

The Blaze plan gives access to all Firebase features and products and has enhanced usage limits.

Key benefits

  • Google Cloud Platform integration

  • Multiple databases per project (Realtime Database)

  • Unlimited number of tests (you are charged for test time only. In contrast, with the free Spark plan, you are limited to 15 tests per day)

  • Cloud Vision APIs

Community

Reviewed by 3+ independent developers

Explore Ably's community support channel for our pub/sub messaging platform
5 / 5

Presence on multiple channels / 5

Size and activity / 5

deepstream.io has a strong community presence on various channels, such as Stack Overflow, Slack, GitHub, and Twitter. Their community is active, approachable, and helpful, and generates a lot of content: 110 repositories, 6.8K stars, and 383 forks on GitHub. Similarly, there are over 100 questions on Stack Overflow, 690 users on Slack and more than 1000 followers on Twitter. There are no events, and no community presence on Discourse, and Gitter.

5 / 5

Presence on multiple channels / 5

Size and activity / 5

“The Firebase community can be found on several different channels: Slack, Stack Overflow, Google Groups, Firebase forums, YouTube. The community is quite active - there are sample apps and codelabs, meetups, podcasts. If you post a question on forums, you are likely to get an answer from the community in a day or so.“

Support

What types of support options and response times do deepstream.io and Firebase offer?

Explore Ably's support options for our pub/sub messaging platform

General Support Options

Email, technical documentation, community support.

Response time

< 24 hours for non-technical queries

< 1 hour for production system down incident (only applies to Enterprise support package)

General support options

Email/ticket, community (e.g. Stack Overflow and Slack), FAQs, technical documentation. 

Enterprise support

Enterprise support is available through the GCP support console, which provides a Premium Support package. It includes 24/7 support for critical-impact issues, dedicated technical account manager, and operational health reviews. 

Response time

Unknown for Firebase direct support.

15-minute response time for priority 1 issues when support is provided via the GCP Premium Support package.

Disclaimer: The information presented for deepstream.io was last updated on 28 February 2021 and on 6 November 2020 for Firebase. It is possible that some details may now be out of date. If you think that’s the case, please let us know so we can update them. In any case, you should not rely solely on the information presented here and must check with each provider before deciding to integrate or buy any of these two solutions.


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