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MongoDB + Amazon DynamoDB Integrations

Appy Pie Connect allows you to automate multiple workflows between MongoDB and Amazon DynamoDB

About MongoDB

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).

About Amazon DynamoDB

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.

Amazon DynamoDB Integrations
Amazon DynamoDB Alternatives

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Best MongoDB and Amazon DynamoDB Integrations

  • MongoDB Amazon DynamoDB

    Amazon DynamoDB + Amazon DynamoDB

    Get IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
    When this happens...
    MongoDB New Item
     
    Then do this...
    Amazon DynamoDB Create Item
    Amazon Web Services DynamoDB is a NoSQL database for applications to store and retrieve data, but it doesn't come with geolocation features built-in. That's where this automation comes in. Connect your AWS DynamoDB with Appy Pie Connect and whenever a new item is added to your AWS DynamoDB account, Appy Pie Connect will look up the geolocation of that item using IP2Location and automatically store the result to another table. You can use this automation for any IP on any AWS region.
    How This Integration Works
    • A new item is added to an AWS DynamoDB table
    • Appy Pie Connect sends an IP from it to IP2Location for geolocation query and then automatically add the results to another AWS DynamoDB table
    What You Need
    • AWS DynamoDB
    • IP2Location
  • MongoDB Amazon DynamoDB

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    MongoDB {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect MongoDB + Amazon DynamoDB in easier way

It's easy to connect MongoDB + Amazon DynamoDB without coding knowledge. Start creating your own business flow.

    Triggers
  • New Collection

    Triggers when you add a new collection.

  • New Database

    Triggers when you add a new database.

  • New Document

    Triggers when you add a new document to a collection.

  • New Field

    Triggers when you add a new field to a collection.

  • New Item

    Trigger when new item created in table.

  • New Table

    Trigger when new table created.

    Actions
  • Create Document

    Create a new document in a collection of your choice.

  • Create Item

    Creates new item in table.

How MongoDB & Amazon DynamoDB Integrations Work

  1. Step 1: Choose MongoDB as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate MongoDB with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Amazon DynamoDB as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Amazon DynamoDB with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MongoDB and Amazon DynamoDB

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:

  • Single Binary install. For Windows, Linux, Sparis, AIX, FreeBSD and macOS platforms, MongoDB supports single-binary installation across all platforms with no additional packages required on any platform, making it easier to automate deployments and ensure consistency across systems b. Agent Auto Discovery. MongoDB 3.6 offers auto discovery for MongoDB agents on all supported platforms c. TLS 1.2 Support. You can enable TLS 1.2 protocp support with the –enableTLS12 feature d. Improved Write Concern Support. The existing Write Concern support has been improved with better failure detection in primary/secondary write operations e. Multi-Document Transactions. Users can now perform atomic operations across multiple documents using multi-document transactions f. Data Deduplication. Users can perform deduplication at cplection level or document level g. Improved Monitoring Support. You can now monitor real-time activity during backups using “mongotop” h. Enhanced Performance. Improved performance when returning results from queries that invpve multiple aggregates i. List Indexes. Users can create indices with names longer than 64 characters j. Increased Connection Limit. The default number of connections per process has increased from 512 to 1024 per process k. Improved Sharding Support. Number of shard-key restrictions have been reduced allowing greater flexibility l. No More Read Repair. When doing read repair users no longer need to specify read preferences m. Improved Consistency Checks n. New Secondary Indexes Options. Users now have options like indexing schemes i.e., GEOJSON indexes on GeoJSON fields ( index name starts with geo_ . or fulltext indexes on regular expressions ( index name starts with text_ . o. Faster Backup Operations p. Improved Geospatial Searches q. Better Performance for Bulk Inserts r. New mongoreplay Command s. Direct Write Operations t. New Oplog Behavior u. Automatic Failover v. Faster Oplog Creation w. Migrations Enhancements x. GeoJSON Function Enhancements y. Improved Query Performance z. Improved Asynchronous Replication Performance aa. Integration with Python Interpreter ab. Native PostgreSQL Wire Protocp ac. Improved Performance on Windows ad. Documentation Enhancements ae. Compaction Improvements af. Better Performance for Read-Heavy Workloads ag. Improved Error Handling ah. Reduced Number of Failed Operationsai. Stability Improvements ak. Testing Environment Improvements al. Performance Improvements am. Improved Server Monitoring Support an. Improved Logging ap. Instance Pinning ar. Standalone Client Shell as. Deprecated Configuration Options at. Security Fixes au. Stale Read Handling av. New U
  • 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.