RichardsFood
Sep 19, 2019
Needs advice
30k views30k
CommentsAmazon SES vs Telegram Bot API
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Advice on Amazon SES, Telegram Bot API
Detailed Comparison
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. | Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API. |
Simple – Amazon SES eliminates the complexity of licensing, installing, and operating a third-party service, or building and maintaining an internally hosted email solution. Sending email through Amazon SES is as simple as using SMTP or calling an API, and Amazon SES makes it easy for you to monitor your sending activity and deliverability statistics.;Inexpensive – There are no up-front fees or fixed expenses with Amazon SES, and you benefit from the efficiencies of Amazon’s scale. Your only costs are low charges for the number of emails sent and data transfer fees.;Reliable – Amazon SES runs within Amazon’s proven network infrastructure and datacenters. All outgoing email messages are stored redundantly across multiple servers and datacenters, providing high availability and data durability.;Scalable – Amazon SES is based on the scalable technology used by Amazon web sites around the world to send billions of messages a year.;Designed for use with other Amazon Web Services – You can track your bounces and complaints in Amazon Simple Notification Service (Amazon SNS), and you can set up Easy DKIM or verify any domain you administer via Amazon Route 53 with a few clicks of your mouse. There is also a free usage tier for emails originating from Amazon EC2 and AWS Elastic Beanstalk. | - |
Statistics | |
Stacks 9.9K | Stacks 327 |
Followers 6.0K | Followers 289 |
Votes 328 | Votes 38 |
Pros & Cons | |
Pros
| Pros
|
What are some alternatives to Amazon SES, Telegram Bot API?
Mandrill
Mandrill is a new way for apps to send transactional email. It runs on the delivery infrastructure that powers MailChimp.
Twilio SendGrid
Twilio SendGrid's cloud-based email infrastructure relieves businesses of the cost and complexity of maintaining custom email systems. Twilio SendGrid provides reliable delivery, scalability & real-time analytics along with flexible API's.
Mailgun
Mailgun is a set of powerful APIs that allow you to send, receive, track and store email effortlessly.
Engati
It is a free chatbot platform to build bots quickly without any coding required. It allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes.
sendwithus
Send email from your app with a simple API call, Sendwithus manages the rest. Templates, testing, data management, segments, and analytics are all accessible through a friendly dashboard.
Postmark
Postmark removes the headaches of delivering and parsing email for webapps with minimal setup time and zero maintenance.
Dialogflow
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
Botpress
Botpress is an open-source bot creation tool written in TypeScript. It is powered by a rich set of open-source modules built by the community. We like to say that Botpress is like the WordPress of bots; anyone can create and reuse other peo
Microsoft Bot Framework
The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
Amazon Lex
Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
