Alternatives to Amazon SNS logo

Alternatives to Amazon SNS

Amazon Pinpoint, Twilio, Amazon MQ, Google Cloud Messaging, and Firebase are the most popular alternatives and competitors to Amazon SNS.
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What is Amazon SNS and what are its top alternatives?

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.
Amazon SNS is a tool in the Mobile Push Messaging category of a tech stack.

Top Alternatives to Amazon SNS

  • Amazon Pinpoint

    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

    Twilio

    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

    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

    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

    Firebase

    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

    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

    Kafka

    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design. ...

  • OneSignal

    OneSignal

    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

Amazon Pinpoint logo

Amazon Pinpoint

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Targeted Push Notifications for Mobile Apps
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PROS OF AMAZON PINPOINT
CONS OF AMAZON PINPOINT
    No cons available

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    Manish Mishra
    Lead Consultant at Knoldus Software LLp · | 6 upvotes · 20.6K views
    Shared insights
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    Amazon PinpointAmazon PinpointAmazon SNSAmazon SNS

    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.

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    related Twilio posts

    Julien DeFrance
    Principal Software Engineer at Tophatter · | 3 upvotes · 444.3K views

    Nexmo vs Twilio ?

    Back in the early days at SmartZip Analytics, that evaluation had - for whatever reason - been made by Product Management. Some developers might have been consulted, but we hadn't made the final call and some key engineering aspects of it were omitted.

    When revamping the platform, I made sure to flip the decision process how it should be. Business provided an input but Engineering lead the way and has the final say on all implementation matters. My engineers and I decided on re-evaluating the criteria and vendor selection. Not only did we need SMS support, but were we not thinking about #VoiceAndSms support as the use cases evolved.

    Also, on an engineering standpoint, SDK mattered. Nexmo didn't have any. Twilio did. No-one would ever want to re-build from scratch integration layers vendors should naturally come up with and provide their customers with.

    Twilio won on all fronts. Including costs and implementation timelines. No-one even noticed the vendor switch.

    Many years later, Twilio demonstrated its position as a leader by holding conferences in the Bay Area, announcing features like Twilio Functions. Even acquired Authy which we also used for 2FA. Twilio's growth has been amazing. Its recent acquisition of SendGrid continues to show it.

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    Amazon MQ logo

    Amazon MQ

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    MITHIRIDI PRASANTH
    Software Engineer at LightMetrics · | 4 upvotes · 47.5K views
    Shared insights
    on
    Amazon MQAmazon MQAmazon SQSAmazon SQS

    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.

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    Pedro Arnal Puente
    CTO at La Cupula Music SL · | 1 upvote · 27.4K views

    Our command and event buses uses stomp as protocol, over RabbitMQ in development, and Amazon MQ in production.

    Currently bus communicates Ruby and PHP based clients.

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    Google Cloud Messaging logo

    Google Cloud Messaging

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    Simple and reliable messaging to reach over a billion devices.
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    PROS OF GOOGLE CLOUD MESSAGING
    CONS OF GOOGLE CLOUD MESSAGING

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    related Firebase posts

    Tassanai Singprom

    This is my stack in Application & Data

    JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

    My Utilities Tools

    Google Analytics Postman Elasticsearch

    My Devops Tools

    Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

    My Business Tools

    Slack

    See more

    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.

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    Amazon SES logo

    Amazon SES

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    Bulk and transactional email-sending service.
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    Cyril Duchon-Doris

    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
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    Shared insights
    on
    Amazon SESAmazon SESMailchimpMailchimp

    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!

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    related Kafka posts

    Eric Colson
    Chief Algorithms Officer at Stitch Fix · | 20 upvotes · 1.6M views

    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:

    #DataScience #DataStack #Data

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    John Kodumal

    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.

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    OneSignal logo

    OneSignal

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    A high volume push notification service for websites and mobile applications
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    Lukas Bergamo
    CEO & Founder at ¹OnePlace · | 7 upvotes · 271.5K views
    Shared insights
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    OneSignalOneSignalFirebaseFirebase
    at

    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!

    OneSignal Firebase

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    Yasmine de Aranda
    Chief Growth Officer at Huddol · | 6 upvotes · 25.3K views

    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!

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