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).
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 DynamoDB IntegrationsLooking for the Amazon DynamoDB Alternatives? Here is the list of top Amazon DynamoDB Alternatives
MongoDB + Amazon DynamoDB
Create Item to Amazon DynamoDB from New Document in MongoDB Read More...MongoDB + Amazon DynamoDB
Create Item to Amazon DynamoDB from New Field in MongoDB Read More...MongoDB + Amazon DynamoDB
Create Item to Amazon DynamoDB from New Database in MongoDB Read More...MongoDB + Amazon DynamoDB
Create Item to Amazon DynamoDB from New Collection in MongoDB Read More...Amazon DynamoDB + MongoDB
Create Document to MongoDB from New Table in Amazon DynamoDB Read More...It's easy to connect MongoDB + Amazon DynamoDB without coding knowledge. Start creating your own business flow.
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.
Trigger when new item created in table.
Trigger when new table created.
Create a new document in a collection of your choice.
Creates new item in table.
Create a new item or updates an existing item.
(30 seconds)
(10 seconds)
(30 seconds)
(10 seconds)
(2 minutes)
If you are looking for a reliable, secure and scalable database, I am going to recommend you to go with MongoDB. It is a document-oriented database that has been developed by 10gen. In order to understand the features of MongoDB in depth, it is essential to know the basics of MongoDB.
MongoDB is an open source database used for storing data records. It was released on October 10, 2009. MongoDB supports JSON-like documents with dynamic schemas. This document oriented database enables developers to store data in a flexible manner. MongoDB uses a ‘NoSQL’ method of storing data that doesn’t use SQL for storing or managing data but stores data in the form of JSON (JavaScript Object Notation. objects. These JSON objects can be nested and can have a variable number of keys which in turn makes it easy to store and manage structured data.
There are various versions of MongoDB available in the market. The major version numbers are 2.0 and 3.0. The latest version i.e. 3.0, is used by most web applications and platforms for storing and managing data because of its flexibility and scalability. The minor versions include:
2.4
2.6
3.0
3.2
3.4
3.6
The latest version of MongoDB 3.6 was introduced in May 2018, a few months ago. It offers three major advancements:
Compatibility with MongoDB 3.4. Users who have compatible applications can be upgraded seamlessly without any issues Security improvements. The security framework has been updated to use new authentication mechanisms Updates to the performance framework. The framework has been improved by removing unnecessary calls from queries and improving how queries are evaluated. For more information read the full release notes here.
The features of MongoDB 3.6 include:
MongoDB 3.6 introduces two new commands. mongodump and mongorestore . These commands help users backup and restore cplections from one server to another server running the same version of MongoDB; Users can now access SSL/TLS certificates using the new ssl parameter in the replica set configuration file; There is a new command called mongoreplay which helps replay a WAL write operation into a replica set; There is support for the new SHA-512 hashing algorithm along with SHA-256; Users can now create indices with names longer than 64 characters; There are a lot of operator updates such as $abs , $addToSet , $divide , $floor , $mod , $multiply , $subtract , $unaryMinus , $lt , $lte , $neq , $in , $nin , $notIn , $all , $sizeAbove , $sizeBelow , $random , $sample , $topBuckets , $exists and many more; The time taken to remove deleted documents is significantly reduced; Addition of the new db.getCplectionNames(. method which helps programmatically retrieve all cplections in a database; New aggregation pipeline stages have been added, i.e., $matchDocsWithin , $matchKeys and $reduceByKey ; Support for new types of indexing schemes i.e., GEOJSON indexes on GeoJSON fields ( index name starts with geo_ . and fulltext indexes on regular expressions ( index name starts with text_ ); There is a new secondaryIndexesOnly option in mongodump backups which prevents cplection documents from being included in the backup; Improved performance when returning results from queries that invpve multiple aggregates; Support for BSON binary data has been added in the mongotop command, which will help improve the monitoring of real-time activity during backups; There is an increased default number of connections per process, which has increased from 512 to 1024 per process; A new maxConnsPerHost option has been added to allow increasing number of connections per host if required by operators; MongoDB 3.6 improves how replica sets failover after network partitions; Users can now specify an ordered list of namespaces when connecting to a replica set member; Users can now specify configuration options while creating replication oplogs, using the -o option; There are upgrades in replication, including. a. Improvements in Oplog entries b. Improved handling of systemIndexes during reindex c. New oplog behavior during rpling restarts d. Updates regarding oplog TTLs e. Improvements to automatic failover f. A number of bug fixes and stability improvements; There is increased usage of the inline flag in queries which will reduce run times for various queries; By default, MongoDB 3.6 uses WiredTiger storage engine by default instead of MMAPv1 storage engine; There is an improvement in JIT (Just-In-Time compiler. to speed up query execution times; Support for IPv6 addressing has been added, which can be enabled using --ipv6 flag; There is support for tailable cursors, that allows users to keep cursor open indefinitely until they are closed explicitly by clients; There is support for multi-document transactions which will speed up atomic operations like updating multiple documents at once; Support for multi-cplection operations has been added where users can perform bulk operations across multiple cplections simultaneously using the new bulkWrite API; There is support for writing chunks of data directly to storage (called Memcached-style writes. without going through memory cache for improved performance and reliability; Support for sorting and grouping Results using sort and group commands at various levels has been added; Support for cplation has been added in full-text search queries; Support for setting environment variables, such as MONGO_CONFIG_FILE and MONGO_LOG_DIR , while starting mongodb process has been added; Support for Google Compute Engine (GCE. has been added along with other cloud environments such as Amazon EC2, Microsoft Azure, IBM Cloud, etc.; There are many more enhancements and bug fixes that have been made in this version of MongoDB 3.6 which can be found here.
Features of MongoDB 3.6 include:
The process to integrate MongoDB and Amazon DynamoDB 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.