What is Google Cloud Messaging and what are its top alternatives?
Top Alternatives to Google Cloud Messaging
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 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. ...
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received. ...
Apple Push Notification Service
It is the centerpiece of the remote notifications feature. It is a robust, secure, and highly efficient service for app developers to propagate information to iOS (and, indirectly, watchOS), tvOS, and macOS devices. ...
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
It is a cross-platform messaging solution that lets you reliably deliver messages at no cost. You can notify a client app that new email or other data is available to sync. You can send notification messages to drive user re-engagement and retention. For use cases such as instant messaging, a message can transfer a payload of up to 4KB to a client app. ...
Free unlimited cross platform push notifications! iOS, Android, Windows Phone, Phonegap, Unity, Marmalade, Adobe Air - we support them all! Easy integration, open-source SDK. ...
Google Cloud Platform
It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. ...
Google Cloud Messaging alternatives & related posts
- Realtime backend made easy362
- Fast and responsive265
- Easy setup235
- Backed by google122
- Angular adaptor82
- Great customer support36
- Great documentation27
- Real-time synchronization23
- Mobile friendly21
- Rapid prototyping18
- Great security13
- Automatic scaling12
- Freakingly awesome11
- Angularfire is an amazing addition!8
- Super fast development8
- Ios adaptor6
- Awesome next-gen backend6
- Built in user auth/oauth5
- Firebase hosting5
- Speed of light4
- Very easy to use4
- Brilliant for startups3
- It's made development super fast3
- JS Offline and Sync suport2
- I can quickly create static web apps with no backend2
- Great all-round functionality2
- The concurrent updates create a great experience2
- Low battery consumption2
- Easy Reactjs integration1
- Push notification1
- Cloud functions1
- Easy to use1
- Faster workflow1
- Good Free Limits1
- Free SSL1
- Free hosting1
- Free authentication solution1
- CDN & cache out of the box1
- Can become expensive29
- No open source, you depend on external company15
- Scalability is not infinite15
- Not Flexible Enough9
- Cant filter queries5
- Very unstable server3
- Too many errors2
- No Relational Data2
- No offline sync1
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 cost10
- Supports multi subscribers5
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.
- It's fast and it works with good metrics/monitoring229
- Ease of configuration79
- I like the admin interface58
- Easy to set-up and start with50
- Intuitive work through python18
- Standard protocols18
- Written primarily in Erlang10
- Simply superb8
- Completeness of messaging patterns6
- Scales to 1 million messages per second3
- Better than most traditional queue based message broker2
- Supports AMQP2
- Inubit Integration1
- Supports MQTT1
- Runs on Open Telecom Platform1
- High performance1
- Clear documentation with different scripting language1
- Great ui1
- Better routing system1
- Delayed messages1
- Too complicated cluster/HA config and management9
- Needs Erlang runtime. Need ops good with Erlang runtime6
- Configuration must be done first, not by your code5
related RabbitMQ posts
As Sentry runs throughout the day, there are about 50 different offline tasks that we execute—anything from “process this event, pretty please” to “send all of these cool people some emails.” There are some that we execute once a day and some that execute thousands per second.
Managing this variety requires a reliably high-throughput message-passing technology. We use Celery's RabbitMQ implementation, and we stumbled upon a great feature called Federation that allows us to partition our task queue across any number of RabbitMQ servers and gives us the confidence that, if any single server gets backlogged, others will pitch in and distribute some of the backlogged tasks to their consumers.
Hi, I am building an enhanced web-conferencing app that will have a voice/video call, live chats, live notifications, live discussions, screen sharing, etc features. Ref: Zoom.
I need advise finalizing the tech stack for this app. I am considering below tech stack:
- Frontend: React
- Backend: Node.js
- Database: MongoDB
- IAAS: #AWS
- Containers & Orchestration: Docker / Kubernetes
- DevOps: GitLab, Terraform
- Brokers: Redis / RabbitMQ
I need advice at the platform level as to what could be considered to support concurrent video streaming seamlessly.
Also, please suggest what could be a better tech stack for my app?
#SAAS #VideoConferencing #WebAndVideoConferencing #zoom #stack
related Apple Push Notification Service posts
- Varying levels of Quality of Service to fit a range of2
- Very easy to configure and use with open source tools1
- Lightweight with a relatively small data footprint1
- Easy to configure in an unsecure manner1
related MQTT posts
- Lack of BI tools6
related Firebase Cloud Messaging posts
related Pushwoosh posts
If you need a free to use push notification service as an alternative to OneSignal PushCrew Pushwoosh PushBots , DigitalPUSH might be the right decision. - DigitalPUSH is free to use - Unlimited subscribers - Unlimited push notifications - No data collection / distribution - Segmentation - API - Scheduling - WordPress plugin
- 1 year free trial credit USD3003
- Good app Marketplace for Beginner and Advanced User2
- Premium tier IP address2
- Live chat support1
related Google Cloud Platform posts
I am currently working on a long term mobile app project. Current stack: Frontend: Dart/Flutter Backend: Go, AWS Resources (AWS Lambda, Amazon DynamoDB, etc.) Since there are only two developers and we have limited time and resources, we are looking for a BAAS like Firebase or AWS Amplify to handle auth and push notifications for now. We are prioritizing developing speed so we can iterate quickly. The only problem is that AWS amplify support for flutter is in developer preview and has limited capabilities (We have tested it out in our app). Firebase is the more mature option. It has great support for flutter and has more than we need for auth, notifications, etc. My question is that, if we choose firebase, we would be stuck with using two different cloud providers. Is this bad, or is this even a problem? I am willing to change anything on the backend architecture wise, so any suggestions would be greatly appreciated as I am somewhat unfamiliar with Google Cloud Platform. Thank you.
I have started using AWS Batch for some long ML inference jobs. So far it's working well and giving a decent performance. Since it is fully managed, it saves a lot of extra work as well. But Batch takes a good amount of time to create a new cluster and then load the job based on the priority of the queue. Going forward would love to put effort into something which is fast to start and give more flexibility as well. What other tools you would suggest for long-running backend jobs which can scale well. I am not looking for something fully managed so ignore the options similar to batch in Google Cloud Platform or Microsoft Azure, Looking for open-source alternatives here. Do you think Kubernetes, RabbitMQ/Kafka will be a good fit or just overkill for my problem. Usually w we get 1000s of requests in parallel and each job might take 20-30 mins in a 2 vCPU system.