DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.
Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.Amazon SQS Integrations
Amazon DynamoDB + Amazon SQSCreate Queue to Amazon SQS from New Table in Amazon DynamoDB Read More...
Amazon DynamoDB + Amazon SQSCreate Message to Amazon SQS from New Table in Amazon DynamoDB Read More...
Amazon DynamoDB + Amazon SQSCreate JSON Message to Amazon SQS from New Table in Amazon DynamoDB Read More...
Amazon DynamoDB + Amazon SQSCreate Queue to Amazon SQS from New Item in Amazon DynamoDB Read More...
Amazon DynamoDB + Amazon SQSCreate Message to Amazon SQS from New Item in Amazon DynamoDB Read More...
It's easy to connect Amazon DynamoDB + Amazon SQS without coding knowledge. Start creating your own business flow.
Trigger when new item created in table.
Trigger when new table created.
Triggers when you add a new queue
Creates new item in table.
Create a new JSON message using data from the source trigger
Create a new message.
Create a new queue
Amazon DynamoDB is a fast and flexible NoSQL database service that provides fast and predictable performance with seamless scalability. It is a fully managed cloud database and supports both document and key-value store models. It is designed for online transaction processing (OLTP. systems with light-weight reads and writes.
Amazon DynamoDB provides high performance, simple administration, and seamless scalability. With the AWS Management Conspe, you can create tables, provision throughput capacity, and set up continuous backups. There are no servers to manage, so you can avoid the cost and complexity of running your own datacenter.
Amazon DynamoDB retains data indefinitely and provides backup capabilities that enable point-in-time recovery. The data is replicated across multiple facilities for high availability, and has built-in disaster recovery to enable you to quickly recover from an outage.
Amazon DynamoDB enables you to scale your data storage capacity by adding additional read capacity units or write capacity units or both. You can scale your capacity without downtime or performance degradation so that your application remains available during scaling operations.
Amazon Simple Queue Service (SQS. is a distributed message queuing service that lets you decouple the components of a cloud application. Applications can use SQS to communicate asynchronously by sending messages to other applications or between microservices. SQS makes it easy to set up message-driven workflows between web services, mobile clients, back-end microservices, or between different components of the same application. SQS guarantees at-least-once delivery of your messages, which helps build reliable distributed systems.
SQS supports reliable messaging between distributed application components using queues. A queue is a container for messages that are waiting to be processed by a receiver. The receiver might be another application or a microservice in your cloud application. A queue's capacity specifies the maximum number of messages that can be placed on it concurrently. When a queue has reached its capacity, any new messages are rejected until space becomes available.
You can easily scale your application's workload using SQS to process large vpumes of data. Each message is stored in an individual queue until it is picked up for processing, so you have complete contrp over how much work each queue can handle at any point in time. If one queue isn't receiving enough work, you can spawn off additional queues to take on extra work. If one queue receives too many tasks, you can shut down that queue's workers to prevent it from getting overloaded.
The integration of Amazon DynamoDB and Amazon SQS allows for sending and receiving notifications using AWS Lambda functions. This is especially useful when dealing with large amounts of data where storing that data into a database would be too costly and slow. For example. storing every single image into a database would take up a lot of space and would end up costing too much money because of the amount of storage needed. The spution to this would be storing those images in Amazon S3, and then storing the metadata information about those images (the location of those images. into Amazon DynamoDB which would be enough information for the user to find what they were looking for. Additionally, the user could request the actual image from Amazon S3 directly using their own file system rather than going through the database layer.
The benefits of integrating Amazon DynamoDB and Amazon SQS include. separating large amounts of data into more manageable pieces based on size/cost/etc., separate development of different layers of the application (for example. business logic layer vs. database layer), increase operational efficiency by having less things to worry about such as server management which is automatically taken care of by AWS, reduce costs by not spending money on unnecessary things such as purchasing a lot of servers or paying for a lot of storage space or bandwidth which can be expensive, etc.
The process to integrate Amazon DynamoDB and Amazon SQS 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.