Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as a part of their Amazon Web Services portfolio. Many of the world’s renowned businesses and enterprises use DynamoDB to support their mission-critical workloads.
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
Amazon DynamoDB + Amazon DynamoDBGet IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
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 DynamoDB + MongoDB 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 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.
Creates new item in table.
Create a new document in a collection of your choice.
Amazon DynamoDB is a highly scalable, low-latency 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. With the ability to quickly and easily scale throughput and storage, you can elastically scale capacity up or down within seconds. DynamoDB offers built-in high availability with automatic failover to a replicated secondary instance, allowing customers to completely avoid planned downtime. The throughput capacity of a single DynamoDB table is limited only by the throughput capacity of the underlying Amazon EC2 instance type. DynamoDB is designed to deliver at least 99.9% (11 nines. yearly uptime and stores data for one year. DynamoDB provides both requests per second (RPS. and read and write capacity units (RCUs. For more information about Amazon DynamoDB visit https://aws.amazon.com/dynamodb/.
A free and open source cross-platform document-oriented database program, MongoDB allows you to store data using flexible schemas. It features dynamic schema, indexing for high performance, and rich queries. The latest version as of this writing is 3.4. MongoDB 3.4 comes with the fplowing new features such as:
MongoDB Atlas — a fully managed service which includes MongoDB Enterprise, Ops Manager, Backup & Restore, Auto-Sharding, and other advanced features
MongoDB Stitch — an Application Integration Platform for building connected apps
Community support for additional programming languages (Go, Java, Python, C#, and Ruby)
For more information about MongoDB visit https://www.mongodb.com/.
MongoDB Atlas is an on-demand hosted database service that allows you to access your data through the MongoDB API without having to install any software or hardware. You can set up your own cluster either in the cloud or on-premises using EC2 instances. MongoDB Atlas offers many features that will make the lives of developers easier such as auto-sharding to replicate data across multiple servers; backup & restore; monitoring; security updates; performance metrics; replication settings (w. rabbitmq, w. zookeeper, w. cross data center replication); and more. For more information about MongoDB Atlas visit https://www.mongodb.com/atlas/.
Let’s say we have two applications. one application uses Amazon DynamoDB and another application uses MongoDB Atlas. Both applications depend on each other to work properly. Applications can use MongoDB to store records in a single cplection with a single master node. When a change occurs in one application it must be reflected in the other application by updating their records accordingly. This process takes time (e.g., milliseconds. and thus creates problems for applications with high latency requirements or with frequent updates like online games or financial trading systems. However, if both applications use Amazon DynamoDB, we can use its feature called Global Secondary Indexes or GSI to synchronize both databases in real time instantly in milliseconds instead of waiting a long time.
Global Secondary Indexes are tables that are created on top of existing Amazon DynamoDB tables. They are used to provide a queryable view over the existing table with additional attributes not present in the original table (such as computed values based on primary key or attribute values from the original table. Global Secondary Indexes can also be used to partition a table into multiple smaller tables thereby increasing scale and reducing costs by decreasing the provisioned read and write capacity units required on the table. For more information about Global Secondary Indexes visit https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI_Indexes_Overview.html#GSI_Indexes_Overview.
The benefits of using Global Secondary Indexes are:
The process to integrate Amazon DynamoDB 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.