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MongoDB Solution

MongoDB solutions, MongoDB Consulting services

MongoDB was named as a global technology leader in Gartner’s Magic Quadrant for Operational Database Management Systems.  MongoDB is among the five most popular types of database management system, and is the most popular choice for document stores.  MongoDB represents a successful fusion between state-of-the-art relational databases and NoSQL technologies (https://db-engines.com/en/ranking).

MongoDB retains some important features of Relational Databases (RDBs):

 

  • It retains the most valuable features of RDBs;
  • Has a strong query language;
  • Strong consistency;
  • Provision of secondary indexes while providing data model flexibility;
  • Achieves elastic scalability and high performance of NoSQL databases;
  • Serves as a document-based data model.

As a next generation database MongoDB helps businesses to transform their industries by harnessing the power of their data. The world’s most sophisticated organisations are now using this technology to help create applications at a comparatively low cost.

Use Cases for MongoDB

Account Management/Customer Delight - The system is used to accelerate the development of digital experiences which increase customer loyalty, engagement and demand.
Research and Development - It is employed as primary back end for Data Aggregation Systems by scientific research organisations.
Real-Time Analytics - It used to query and report on archives at runtime by the classifieds.
Marketing - Social Platforms use MongoDB as their back end DB of choice.
Personalization - Search Engines use MongoDB to manage all user and metadata for their file sharing services.
Personalization - It is commonly used to store user data and game state. Auto-sharding allows the scaling of MongoDB across servers as user demand grows.
Key benefits of MongoDB
  • Able to store any data from structured to semi-structured to polymorphic.
  • Offers tremendous performance in terms of scalability and data processing capability.
  • Processes the vast information we generate through IoT & cloud computing.
  • Supports the current requirements of thousands of requests per second.
  • Empowers enterprises to become more agile, enabling them to grow more quickly and create the new type of novel applications and products consumers need, while improving the customer experience by accelerating time to market and decreasing costs of implementation.
  • As a document-oriented database, any information can be allocated to a document (including arrays and embedded documents), permitting a more flexible structure.
  • Can be used to shape your schema design on-the-fly, leading to much faster development, whereas no RDBMS permit such a rigid schema structure.  In contrast, data stored within JSON-like documents can vary in structure.
  • Enables Rich Queries and fast In-Place updates.
  • Confers high availability and scalability, including out-of-the-box replication and auto-sharding.
  • The unit of storage is analogous to Ruby hashes, Python dictionaries, JSON etc.  MongoDB is a rich data structure, capable of supporting arrays and other documents.
  • It can often represent a single entity; a construct that would require several tables to describe in a conventional RDB.
Features of MongoDB
  • High availability.
  • Advanced user management.
  • Enables secure authentication, authorization, etc.
  • Scalability.  Confers upon database transparently across all shards, thereby enhancing the performance of data processing.
  • Aggregation.  Allows batch processing of data and aggregation of calculations through native MongoDB operations.
  • Load Balancing.  Permits automated data movement across different shards for load balancing.  The load balancer decides when to migrate the data as well as the destination shard, so that they are evenly distributed across all servers within the cluster.
  • Native Replication.  Syncing data across all the servers of the replica set.
  • Automatic failover.  Automatic election of a new primary when first has gone down.
  • Zero downtime upgrades.
  • No bottlenecks are created, processing large volumes of data.
  • Each shard stores the data for a selected range of our collection according to a partition key.
  • Uses standardised data exchange via JSON across.  JSON is the web standard protocol, and it confers great advantage in that both web platforms and databases use it.
  • Utilises Map-Reduce for information processing via server-side JavaScript execution.
  • JavaScript Execution. Confers ability to store JavaScript functions on the server for queries and aggregation functions.
  • MongoDB Management Service (MMS) is a powerful tool which enables users to track databases and machines and also to back up data.
  • Monitoring. Performance is visualised within a rich web console to help you optimise your deployment.
  • Custom alerts. Discovering and alerting users to problems before MongoDB instance is affected.
  • Backup. Continuous backup with point-in-time recovery of replica sets and sharded clusters. Various copies of every backup are archived across data centres for additional data security.

MongoDB open sources GNU and Apache licenses are based on a cross-platform document-oriented database.  Also classified as a NoSQL database system.

MongoDB Solution Options
  • Open-source GNU and Apache License.
  • Commercial licenses available from MongoDB Inc.  
Our MongoDB Consulting Services
  1. Software Lifecycle Management / Software Development Life Cycle (SDLC).
  2. POC (proof of concept)

Organisations using MongoDB

Adobe, LinkedIn, Craigslist, eBay, FIFA, McAfee, Yandex, Metlife  

mautic is open source marketing automation