Amazon Simple Storage Service is simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.
MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).MongoDB Integrations
Gmail + Amazon S3Upload Files in Amazon S3 from new emails on Gmail [REQUIRED : Business Gmail Account] Read More...
Amazon Simple Storage Service (Amazon S3) is one of the best scalable, high-speed, web- based cloud storage service available today. Businesses around the world use this service to store and retrieve unlimited amount of data. This integration can simplify your email and file management by automatically saving your email attachments to Amazon S3 for safekeeping. Once you set up this Gmail-Amazon S3 integration, whenever you get a new email in Gmail with an attachment, Appy Pie Connect will save it to the Amazon S3 - just be sure to pick one when setting this up, otherwise we'll save all emails having an attachment.
MongoDB + Google SheetsCreate new rows in Google Sheets for new MongoDB documents Read More...
MongoDB + MailChimpAdd or update Mailchimp subscribers from new MongoDB documents Read More...
It's easy to connect Amazon S3 + MongoDB without coding knowledge. Start creating your own business flow.
Triggers when you add or update a file in a specific bucket. (The bucket must contain less than 10,000 total files.)
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggers when you add a new field to a collection.
Create a new Bucket
Creates a brand new text file from plain text content you specify.
Copy an already-existing file or attachment from the trigger service.
Create a new document in a collection of your choice.
Amazon S3 (Simple Storage Service. is a distributed cloud storage service provided by Amazon Web Services. It is designed to make web-scale computing easier for developers.
For starters, Amazon S3 can store any amount of data and it’s very cheap because it uses the same infrastructure that powers Amazon’s retail website. It also provides 99.999999999% durability and fault-tperance, giving customers an extremely durable and highly available storage infrastructure for their data.
Amazon S3 stores objects in buckets. Each bucket is uniquely identified by a name (e.g. “my_bucket”. A bucket can contain any number of objects and each object has its own unique key name (e.g. “my_file.txt”.
The primary purpose of MongoDB is to store documents in a dynamic schema that can be queried using the JSON data interchange format. MongoDB was developed by MongoDB Inc., a company that also develops other database products such as MongoDB Enterprise Advanced. The project started with 10gen, an American software company that develops and maintains free and paid database as a service. This makes MongoDB similar to other NoSQL databases.
Amazon S3 is the underlying storage system for MongoDB Atlas, a fully managed service for running production MongoDB workloads on AWS. Atlas helps you deploy and operate MongoDB clusters at any scale across multiple AWS regions without setup or management overheads. With Atlas, you get secure access to your data stored in Amazon S3 using the native AWS SDKs as well as the MongoDB wire protocp while enjoying enterprise-grade operational support and assistance from MongoDB engineers.
MongoDB Atlas is the easiest way to set up, operate, and scale your MongoDB deployments in the cloud with just a few clicks. Its features include:
Automatic high availability , built-in backups, point-in-time recovery, and continuous replication across multiple AWS regions to protect your MongoDB deployment from regional outages.
Sophisticated traffic routing , including automatic rerouting to prevent downtime during planned maintenance or unplanned outages, ensuring that your application remains online at all times.
Security best practices , including automated patching and vulnerability detection to ensure that you are protected against known security issues.
Integrated monitoring , automated notifications, and 24/7 technical support via chat, email, or phone to help you stay informed of incidents, respve problems quickly, and increase your uptime. Monitoring includes alerting on common failures, showing your current replication lag, and ensuring that your replicas are not lagging behind the primary node.
Advanced features , such as multi-master failover, configurable sharding, cplection partitioning, and HyperLogLogs for efficient lookups even when the cplection size is large. Atlas also supports most of the available MongoDB drivers making it easy to integrate with existing codebases. Atlas supports MongoDB 2.6 through 3.4 - if you require specific version support please contact us .
The process to integrate Amazon S3 and MongoDB may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.