What is Firebase Cloud Messaging and what are its top alternatives?
Top Alternatives to Firebase Cloud Messaging
OneSignal is a high volume push notification service for websites and mobile applications. OneSignal supports all major native and mobile platforms by providing dedicated SDKs for each platform, a RESTful server API, and a dashboard. ...
- Google Cloud Messaging
Google Cloud Messaging (GCM) is a free service that enables developers to send messages between servers and client apps. This includes downstream messages from servers to client apps, and upstream messages from client apps to servers. ...
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. ...
- Amazon SNS
Amazon Simple Notification Service makes it simple and cost-effective to push to mobile devices such as iPhone, iPad, Android, Kindle Fire, and internet connected smart devices, as well as pushing to other distributed services. Besides pushing cloud notifications directly to mobile devices, SNS can also deliver notifications by SMS text message or email, to Simple Queue Service (SQS) queues, or to any HTTP endpoint. ...
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design. ...
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. ...
Pusher is the category leader in delightful APIs for app developers building communication and collaboration features. ...
It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium. ...
Firebase Cloud Messaging alternatives & related posts
- Free of cost28
- More parametrable22
- Simple and Easy To Use. Well Documented :)16
- Device to device13
- Great support9
- Many Platforms9
- Phonegap / Cordova / Ionic starters4
- Flexibility in working with web, android and iOS4
related OneSignal posts
At the beginning of the ¹OnePlace project, our team needed to decide which service to use to send bulk notifications to all users quickly and consistently. We tested some services without success and as we already used firebase we decided to implement in the beginning using Notifications by Firebase. We're having trouble updating the user's token to see if it has removed the app or not. This brought a working overhead and we were not sure if the notification had arrived at the destination. Today we use OneSignal, which did not bring reliability to the submitted notifications, nor do we need to bother with manual token updates. We ship approximately 500 thousand notifications with 100% delivery!
Hi there, we are a seed-stage startup in the personal development space. I am looking at building the marketing stack tool to have an accurate view of the user experience from acquisition through to adoption and retention for our upcoming React Native Mobile app. We qualify for the startup program of Segment and Mixpanel, which seems like a good option to get rolling and scale for free to learn how our current 60K free members will interact in the new subscription-based platform. I was considering AppsFlyer for attribution, and I am now looking at an affordable yet scalable Mobile Marketing tool vs. building in-house. Braze looks great, so does Leanplum, but the price points are 30K to start, which we can't do. I looked at OneSignal, but it doesn't have user flow visualization. I am now looking into Urban Airship and Iterable. Any advice would be much appreciated!
Google Cloud Messaging
- Easy setup4
- Easy iOS setup2
- IOS Support1
related Google Cloud Messaging posts
- Realtime backend made easy369
- Fast and responsive268
- Easy setup240
- Backed by google126
- Angular adaptor82
- Great customer support35
- Great documentation31
- Real-time synchronization25
- Mobile friendly21
- Rapid prototyping18
- Great security14
- Automatic scaling12
- Freakingly awesome11
- Super fast development8
- Angularfire is an amazing addition!8
- Built in user auth/oauth6
- Firebase hosting6
- Awesome next-gen backend6
- Ios adaptor6
- Speed of light4
- Very easy to use4
- It's made development super fast3
- Brilliant for startups3
- Free hosting2
- Cloud functions2
- JS Offline and Sync suport2
- Low battery consumption2
- The concurrent updates create a great experience2
- I can quickly create static web apps with no backend2
- Great all-round functionality2
- Push notification2
- Free authentication solution2
- Simple and easy1
- Free SSL1
- Faster workflow1
- Easy Reactjs integration1
- Easy to use1
- Google's support1
- Good Free Limits1
- CDN & cache out of the box1
- Can become expensive31
- No open source, you depend on external company16
- Scalability is not infinite15
- Not Flexible Enough9
- Cant filter queries7
- Very unstable server3
- No Relational Data3
- Too many errors2
- No offline sync2
related Firebase posts
This is my stack in Application & Data
My Utilities Tools
Google Analytics Postman Elasticsearch
My Devops Tools
Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack
My Business Tools
- Low cost12
- Supports multi subscribers6
related Amazon SNS posts
We decided to use AWS Lambda for several serverless tasks such as
- Managing AWS backups
- Processing emails received on Amazon SES and stored to Amazon S3 and notified via Amazon SNS, so as to push a message on our Redis so our Sidekiq Rails workers can process inbound emails
- Pushing some relevant Amazon CloudWatch metrics and alarms to Slack
Instead of Amazon SNS, which is currently being used to send outbound push notification and including SMS, we want to build the 2 Way SMS using Amazon Pinpoint. Just want to know about Pinpoint and any outstanding issues if we drop SNS since it does not support 2 Way and use Pinpoint for both incoming and outgoing flow.
- Open source18
- Written in Scala and java. Runs on JVM11
- Message broker + Streaming system8
- Avro schema integration4
- Suport Multiple clients3
- Partioned, replayable log2
- Extremely good parallelism constructs1
- Simple publisher / multi-subscriber model1
- Non-Java clients are second-class citizens31
- Needs Zookeeper28
- Operational difficulties8
- Terrible Packaging3
related Kafka posts
The algorithms and data infrastructure at Stitch Fix is housed in #AWS. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. We store data in an Amazon S3 based data warehouse. Apache Spark on Yarn is our tool of choice for data movement and #ETL. Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs. While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.
Beyond data movement and ETL, most #ML centric jobs (e.g. model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see https://github.com/stitchfix/flotilla-os).
At Stitch Fix, algorithmic integrations are pervasive across the business. We have dozens of data products actively integrated systems. That requires serving layer that is robust, agile, flexible, and allows for self-service. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. This provides our data scientist a one-click method of getting from their algorithms to production. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product.
For more info:
- Our Algorithms Tour: https://algorithms-tour.stitchfix.com/
- Our blog: https://multithreaded.stitchfix.com/blog/
- Careers: https://multithreaded.stitchfix.com/careers/
#DataScience #DataStack #Data
As we've evolved or added additional infrastructure to our stack, we've biased towards managed services. Most new backing stores are Amazon RDS instances now. We do use self-managed PostgreSQL with TimescaleDB for time-series data—this is made HA with the use of Patroni and Consul.
We also use managed Amazon ElastiCache instances instead of spinning up Amazon EC2 instances to run Redis workloads, as well as shifting to Amazon Kinesis instead of Kafka.
- Supports .NET server29
- Fallback to SSE, forever frame, long polling15
- Open source8
- Ease of use7
- Expertise hard to get2
- Requires jQuery2
- Weak iOS and Android support1
- Big differences between ASP.NET and Core versions1
related SignalR posts
SignalR or gRPC are always sending and receiving data on the client-side (from browser to .exe and back to browser). And web application is used for graphical visualization of data to the user. There is no need for local .exe to send or interact with remote web API. Which architecture or framework do you suggest to use in this case?
- An easy way to give customers realtime features55
- Easy to get started with27
- Free plan25
- Heroku Add-on12
- Easy and fast to configure and to understand11
- Azure Add-on6
- Push notification4
related Pusher posts
Which messaging service (Pusher vs. PubNub vs. Google Cloud Pub/Sub) to use for IoT?
Recently we finished long research on chat tool for our students and mentors. In the end we picked Mattermost Team Edition as the cheapest and most feature complete option. We did consider building everything from scratch and use something like Pusher or Twilio on a backend, but then we would have to implement all the desktop and mobile clients and all the features oursevles. Mattermost gave us flexible API, lots of built in or easy to install integrations and future-proof feature set. We are still integrating it with our main platform but so far the team, existing mentors and students are very happy.
- Varying levels of Quality of Service to fit a range of3
- Lightweight with a relatively small data footprint2
- Very easy to configure and use with open source tools2
- Easy to configure in an unsecure manner1
related MQTT posts
Kindly suggest the best tool for generating 10Mn+ concurrent user load. The tool must support MQTT traffic, REST API, support to interfaces such as Kafka, websockets, persistence HTTP connection, auth type support to assess the support /coverage.
The tool can be integrated into CI pipelines like Azure Pipelines, GitHub, and Jenkins.
For the com part, depending of more details not provided, i'd use SSE, OR i'd run either Mosquitto or RabbitMQ running on Amazon EC2 instances and leverage MQTT or amqp 's subscribe/publish features with my users running mqtt or amqp clients (tcp or websockets) somehow. (publisher too.. you don't say how and who gets to update the document(s).
I find "a ton of end users", depending on how you define a ton (1k users ;) ?) and how frequent document updates are, that can mean a ton of ressources, can't cut it at some point, even using SSE
how many, how big, how persistant do the document(s) have to be ? Db-wise,can't say for lack of details and context, yeah could also be Redis, any RDBMS or nosql or even static json files stored on an Amazon S3 bucket .. anything really