What is PubNub and what are its top alternatives?
Top Alternatives to PubNub
Pusher is the category leader in delightful APIs for app developers building communication and collaboration features. ...
It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed. ...
Stream allows you to build scalable feeds, activity streams, and chat. Stream’s simple, yet powerful API’s and SDKs are used by some of the largest and most popular applications for feeds and chat. SDKs available for most popular languages. ...
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design. ...
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. ...
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. ...
Twilio offers developers a powerful API for phone services to make and receive phone calls, and send and receive text messages. Their product allows programmers to more easily integrate various communication methods into their software and programs. ...
PubNub alternatives & related posts
- 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.
- Event-based communication141
- Open source101
- Binary streaming26
- No internet dependency21
- Large community10
- Fallback to polling if WebSockets not supported9
- Push notification6
- Ease of access and setup5
- Bad documentation11
- Githubs that complement it are mostly deprecated4
- Doesn't work on React Native3
- Small community2
- Websocket Errors2
related Socket.IO posts
I use Socket.IO because the application has 2 frontend clients, which need to communicate in real-time. The backend-server handles the communication between these two clients via websockets. Socket.io is very easy to set up in Node.js and ExpressJS.
In the research project, the 1st client shows panoramic videos in a so called cave system (it is the VR setup of our research lab, which consists of three big screens, which are specially arranged, so the user experience the videos more immersive), the 2nd client controls the videos/locations of the 1st client.
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.
- Active support is impressive. (Support for private deve13
- Pre-built UI for major platforms10
- Easy to use10
- Migration API for customers using other chat services8
- Scalability is awesome7
- First chat SDK officially supports Xamarin7
- Because my product guy told me to5
- Unlimited number of users in public chat5
- Cool product5
- Flexible message format ex) json, xml4
- Out of the box api and features2
- Intuitive and feature-packed2
- Policy on concurrent users leads to overages and overch2
- Prices ramp up exponentially2
related SendBird posts
I am interested in using a chat SDK for a community mobile Flutter app. I am between SendBird and Stream. I currently have 2,000 monthly active users and plan to have close to 5,000 active users chatting on the app. Has anyone used either and had good/bad experiences? Currently, there is no chat functionality, and we would like to have a 1-to-1 user chat, group chat, and large community chat capabilities.
I am considering which chat solution to choose between CometChat and SendBird, for our new app. The condition is, the app is going to run in a private network and has to connect with MSSQL. Any advice on other things I have to consider before choosing one, or is there another chat service you would recommend? Thank you!
- Up and running in few minutes18
- Integrates via easy-to-use REST API18
- It's easy to setup with the minimum coding18
related Stream posts
- Open source18
- Written in Scala and java. Runs on JVM11
- Message broker + Streaming system8
- Avro schema integration4
- Suport Multiple clients3
- Partioned, replayable log2
- Simple publisher / multi-subscriber model1
- Extremely good parallelism constructs1
- Non-Java clients are second-class citizens32
- Needs Zookeeper29
- Operational difficulties9
- Terrible Packaging4
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.
- Highly reliable6
- Great technical support5
- Channel History5
- Message queueing5
- Massive scalability5
- Global cloud network of data centers5
- Channel Presence5
- Third-party cloud integrations4
- Consistently high performance4
- Free plan4
related Ably 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
- Powerful, simple, and well documented api147
- RESTful API88
- Clear pricing66
- Great sms services61
- Low cost of entry58
- Global SMS Gateway29
- Good value14
- Cloud IVR12
- Extremely simple to integrate with rails11
- Great for startups6
- Great developer program3
- Hassle free3
- Text me the app pages2
- New Features constantly rolling out1
- Many deployment options, from build from scratch to buy1
- Easy integration1
- Two factor authentication1
- Predictable pricing4
related Twilio posts
Hi, We are looking to implement 2FA - so that users would be sent a Verification code over their Email and SMS to their phone.
We faced some limitations with Amazon SNS where we could either send the verification code to email OR to the phone number, while we want to send it to both.
We also are looking to make the 2FA more flexible by adding any other options later on.
What are the best alternatives to SNS for this use case and purpose? Looked at Twilio but want to explore other options before making a decision.
Would be great to know what the experience with Twilio has been, especially the limitations/issues with Twilio...
Appreciate any input from users of Twilio and others who have had similar use cases.
Searching for options for SMS that integrates with SiteLink and will allow personalization of text and tracking of both incoming/outgoing messages with reporting (Time, date, call#, etc) Have been looking at Twilio, and seems most leaning toward this. Are there any other options known that integrate into SiteLink? Also looked at Clickatell.