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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Realtime Backend API
  5. Crashlytics vs Firebase

Crashlytics vs Firebase

OverviewDecisionsComparisonAlternatives

Overview

Firebase
Firebase
Stacks42.5K
Followers36.0K
Votes2.0K
Crashlytics
Crashlytics
Stacks1.0K
Followers614
Votes340

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Advice on Firebase, Crashlytics

Jared
Jared

Contractor at Insight Global

Aug 9, 2019

ReviewonFirebaseFirebase

I started using Firebase over 5 years ago because of the 'real-time' nature. I originally used to use Real Time Database, but now I use Cloud Firestore. I recommend using the Google Firebase PaaS to quickly develop or prototype small to enterprise level web/mobile applications. Since Google purchased Firebase, it has exploded and it growing rapidly. I also find some level of comfort that it is Backed by Google.

272k views272k
Comments
Noam
Noam

Jul 16, 2020

Needs adviceonNode.jsNode.jsExpressJSExpressJSReactReact

We are starting to work on a web-based platform aiming to connect artists (clients) and professional freelancers (service providers). In-app, timeline-based, real-time communication between users (& storing it), file transfers, and push notifications are essential core features. We are considering using Node.js, ExpressJS, React, MongoDB stack with Socket.IO & Apollo, or maybe using Real-Time Database and functionalities of Firebase.

1.15M views1.15M
Comments

Detailed Comparison

Firebase
Firebase
Crashlytics
Crashlytics

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.

Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful! Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.

Add the Firebase library to your app and get access to a shared data structure. Any changes made to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.;Firebase apps can be written entirely with client-side code, update in real-time out-of-the-box, interoperate well with existing services, scale automatically, and provide strong data security.;Data Accessibility- Data is stored as JSON in Firebase. Every piece of data has its own URL which can be used in Firebase's client libraries and as a REST endpoint. These URLs can also be entered into a browser to view the data and watch it update in real-time.;Real-time Synchronization- Firebase takes a new approach to the way data is moved around an app. Rather than using a traditional request & response model, it works by synchronizing data between devices. Whenever your data changes, all clients are immediately notified within milliseconds. The synchronized data is also persisted, allowing new clients to be immediately updated.;First-class Data Security- Traditional applications intermix security code with application code, whereas Firebase treats security as a first-class feature. You define your security policies in one place using a flexible rules language, and Firebase ensures that they are consistently enforced across all parts of your application. Having all your security logic in one place allows for easy auditing and helps you avoid security mistakes. The safety and security of your data is our top priority.;Automatic Scaling- The Firebase API is built from the ground up for performance and scale. Whenever your data changes, Firebase calculates the minimum set of updates required to keep all your clients in sync. In addition, all Firebase API functions are designed to scale linearly with the size of the data being synchronized. More importantly, Firebase handles all of the scaling and operations for you. Your app will scale from its first user to its first million without any code changes.;Servers are Optional- Firebase can provide all of the data storage, control, and transmission needs of most apps. In many cases, Firebase can completely replace your server and server-side code. This means you no longer need to build complicated backend software and can instead focus on your application logic and your customers.
Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful!;Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.;Now you'll get precise information on the performance of the devices that your apps run on. We'll let you know if the crash only happens on a specific model or generation of a device. We'll even tell you other information, like whether your app only crashes in landscape mode, or whether the proximity sensor is always on.;Through our smart reports, we'll provide key insights into your data so you can spend more time fixing and less time triaging.;Going one layer deeper, Crashlytics examines the operating system that your app is running on. We answer questions like: is it crashing only on jailbroken devices? Is this a memory issue? Does this only affect a specific version of iOS? Through our interactive reports, you'll know instantly.;Our cutting edge architecture can handle all the traffic you'll throw at us. For example, suppose a buggy update is released and all your users experience issues across all of their devices. Our system processes every crash in a record-breaking 18 milliseconds so you can take action — immediately.;Each crash we receive gets analyzed by our banks of servers. While pasting a stack trace is the simplest way to get it to you, we wanted to do better. We analyze the entire stack trace, for every crash, and apply carefully-tuned algorithms. Some lines are de-emphasized while others are highlighted, so we can take you straight to the threads and stack-frames that matter.;We've built a layer of intelligent post-processing to alert you to new issues in real-time. We've also built the channels to get that intelligence to you. Whether you're on the Crashlytics dashboard on your iPad, coding on your MacBook with Crashlytics for Mac, watching your third-party issue tracker or even your email inbox, you'll get notified when something important happens.;You're always in control — all notifications are customizable to minimize noise and maximize action.;The Crashlytics SDK uses a multi-step symbolication process to provide progressively higher levels of detail. We start with on-device symbolication. Once a crash report makes it into our system, stack frames are then re-processed against your application's dSYM on our servers. This two-step symbolication process, coupled with our advanced aggregation algorithms, provides the highest information fidelity available.;On average, Crashlytics adds only 40 KB — or the size of a single image — to the weight of your application.;We don't require linking against any additional frameworks or libraries.;When initialized at start-up, Crashlytics performs only the minimal amount of required work and defers the rest until a few seconds after app startup completes. This delay is configurable — we want your app to launch as quickly as possible;Our memory footprint has been carefully tuned to minimize overhead. We guarantee Crashlytics will not impact gameplay, video processing, or any memory-intensive operations you perform.;We care tremendously about the stability of your app and the experience for your users. If for any reason our SDK fails, its defensive design will ensure it has no negative impact.;We use run-time feature detection to ensure compatibility with iOS 4 to iOS 6 and beyond.
Statistics
Stacks
42.5K
Stacks
1.0K
Followers
36.0K
Followers
614
Votes
2.0K
Votes
340
Pros & Cons
Pros
  • 371
    Realtime backend made easy
  • 270
    Fast and responsive
  • 242
    Easy setup
  • 215
    Real-time
  • 191
    JSON
Cons
  • 31
    Can become expensive
  • 16
    No open source, you depend on external company
  • 15
    Scalability is not infinite
  • 9
    Not Flexible Enough
  • 7
    Cant filter queries
Pros
  • 78
    Crash tracking
  • 56
    Mobile exception tracking
  • 53
    Free
  • 37
    Easy deployment
  • 25
    Ios
Integrations
Trigger.io
Trigger.io
Famo.us
Famo.us
Backbone.js
Backbone.js
Ember.js
Ember.js
AngularJS
AngularJS
React
React
Jira
Jira
Pivotal Tracker
Pivotal Tracker
PagerDuty
PagerDuty
Asana
Asana
HipChat
HipChat
Campfire
Campfire
Trello
Trello
Bitbucket
Bitbucket
Hall
Hall

What are some alternatives to Firebase, Crashlytics?

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.

Instabug

Instabug

Instabug is a platform for Real-Time Contextual Insights that completely takes care of your bug reporting and user feedback process; to accelerate your workflow and allow you to release with confidence.

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.

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