What is Amazon SNS and what are its top alternatives?
Top Alternatives to Amazon SNS
- Amazon Pinpoint
Amazon Pinpoint makes it easy to run targeted campaigns to drive user engagement in mobile apps. Amazon Pinpoint helps you understand user behavior, define which users to target, determine which messages to send, schedule the best time to deliver the messages, and then track the results of your campaign. ...
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. ...
- Amazon MQ
Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. ...
- 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 SES
Amazon SES eliminates the complexity and expense of building an in-house email solution or licensing, installing, and operating a third-party email service. The service integrates with other AWS services, making it easy to send emails from applications being hosted on services such as Amazon EC2. ...
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design. ...
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. ...
Amazon SNS alternatives & related posts
- Transactional Messages13
related Amazon Pinpoint posts
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.
- 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.
Hi, Stackshare community, I plan to build an app where people can go live, and users can watch him, 1 to many, follow each other, and text.
I am expecting a huge number of users to use the app in the first month (100k+)
I made the UX/UI design, and my designer asked me to find a developer.
I want your advice. What server is the best for video quality and fast text messages (like uplive, bigo)?
Ex. Agora, Twilio, Amazon Chime, Aws, or fiberbass
I need for both operating systems, (ios, android). Do you recommend Flutter?
- I have AWS server in my country (Bahrain), and 80% of the audience are from the same area. Does it help in the video quality between the audience?
Thank you for this helpful website.
- Supports low IQ developers7
- Supports existing protocols (JMS, NMS, AMQP, STOMP, …)2
- Easy to migrate existing messaging service2
- Slow AF4
related Amazon MQ posts
I want to schedule a message. Amazon SQS provides a delay of 15 minutes, but I want it in some hours.
Example: Let's say a Message1 is consumed by a consumer A but somehow it failed inside the consumer. I would want to put it in a queue and retry after 4hrs. Can I do this in Amazon MQ? I have seen in some Amazon MQ videos saying scheduling messages can be done. But, I'm not sure how.
- 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 documentation30
- Real-time synchronization25
- Mobile friendly21
- Rapid prototyping18
- Great security14
- Automatic scaling12
- Freakingly awesome11
- Angularfire is an amazing addition!8
- Super fast development8
- Firebase hosting6
- Built in user auth/oauth6
- Awesome next-gen backend6
- Ios adaptor6
- Very easy to use4
- Speed of light4
- Brilliant for startups3
- It's made development super fast3
- Free authentication solution2
- JS Offline and Sync suport2
- Low battery consumption2
- Push notification2
- I can quickly create static web apps with no backend2
- Free hosting2
- The concurrent updates create a great experience2
- Cloud functions2
- Great all-round functionality2
- CDN & cache out of the box1
- Google's support1
- Faster workflow1
- Free SSL1
- Easy Reactjs integration1
- Easy to use1
- Good Free Limits1
- Simple and easy1
- Can become expensive31
- Scalability is not infinite15
- No open source, you depend on external company15
- 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
- Integrates with other aws services57
- Easy setup52
- Easy rails setup2
related Amazon SES 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
I would like to know how I can implement a transactional email, or if it is possible to do so, like Mailchimp, using Amazon SES. I want to have the flexibility of creating emails like MailChimp, with a bulk email sending capability. Is it as simple with AWS SES as it is with MailChimp? If so, then how can I implement that for my own product? Thanks!
- Open source17
- Written in Scala and java. Runs on JVM11
- Message broker + Streaming system8
- Avro schema integration4
- Suport Multiple clients2
- Partioned, replayable log2
- Extremely good parallelism constructs1
- Simple publisher / multi-subscriber model1
- Non-Java clients are second-class citizens30
- 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.
- 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!