What is MongoDB?
MongoDB is Document-oriented NoSQL database used for storing the data. It is different from other databases due to its no structured or schema less feature. In all the traditional databases there is row and column but, in the MongoDB, we have collections and documents.
Collection contains the multiple documents and functions like the traditional databases have the tables.
Documents contains key-value pair data in the JSON format which are the basic unit of MongoDB.
MongoDB Atlas is global leading cloud database services that can be launched on the top of most famous clouds – AWS, GCP and Azure. It also provides the great security for the databases.
As of 2k20, MongoDB has been downloaded over 30 million times with over 730,000 MongoDB University registrations. More than 10+ language support drivers are already they’re in MongoDB. Best part of this is MongoDB is free to use.
Features of MongoDB
- It is schema less so it provides the flexibility to add the fields on the fly.
- The data model available within MongoDB allows you to represent hierarchical relationships, to store arrays, and other more complex structures more easily.
- MongoDB arrange the data structured as in form of class and object so it provides the better understanding to the developer who have knowledge of programming language and using this database.
- The document doesn’t need to have schema pre-created you can create it on the fly according to the requirement and attach into it.
Advantages Of MongoDB –
- Ad-hoc queries for optimized, real-time analytics – In MongoDB we can run Ad-hoc commands with optimization in which we can add thousand of variable may need to considered. This is why MongoDB is document oriented where we can add the field on the fly in the document.
- Indexing appropriately for better query execution – Indexing made the query search faster in the databases. Without index all database are forced to search by going one by one to every index and searching the query. In MongoDB the indexes are made on the fly as per the requirements.
- Replication for better data availability and stability – Storing the data in single database can cause single point of failure and many other issues. Replication allow you to sidestep these vulnerabilities by deploying multiple servers for disaster management recovery and backup.
- Sharding – As in huge data running multiple queries at one time will take a lot of time so as MongoDB support cluster environment and also it support sharding in which we can divide and allocate the queries to run on same data in different-different shards. By doing this the application have zero downtime.
- Load Balancing – MongoDB support horizontal scaling features like replication and sharding, MongoDB support large-scale load balancing.
Use Case solved by MongoDB for Adobe
MongoDB today announced that Adobe has added support for MongoDB, the database for modern applications, to facilitate the storage of data with the release of version 6.0 of Adobe Experience Manager, the market leader in Web experience management. Experience Manager enables marketers to create, manage and optimize customer-facing digital experiences across all channels, including web, mobile apps, social, video and in-store. Adobe built a version of the persistence layer for Experience Manager 6.0 on MongoDB, which stores petabytes of data that customers need for their large-scale content repositories, for management and delivery of mission-critical digital experiences.
Many of the world’s most recognizable brands, including Audi, Philips and Verizon Wireless, already use Experience Manager to accelerate development of digital experiences that increase customer loyalty, engagement and demand. With support for MongoDB, Adobe has added another option that delivers horizontal scalability for a large number of concurrent writes and reads that will keep pace with customers’ exponential growth in digital assets. MongoDB’s enterprise readiness also ensures ease of management for customers hosting their own instances of Experience Manager.
“To effectively reach audiences, today’s businesses demand scalable and accessible solutions to manage large repositories of digital assets across an expanding number of channels and platforms,” said David Nuescheler, Vice President of Enterprise Technology at Adobe. “As Adobe continues to support the real-time enterprise, MongoDB has become another trusted source for managing this explosive growth of digital assets and a strong option for our customers.”
MongoDB tightly integrates with Experience Manager, supporting a modern, world-class digital experience management platform. By introducing a new content repository architecture based on the JCR 2.0 standard, Experience Manager provides customers flexibility for implementing large and distributed repositories while maintaining industry standard compliance for content-centric applications. Experience Manager customers who take advantage of MongoDB can deploy a highly scalable content repository to support their business needs, as well as migrate content from legacy systems.
“MongoDB helps global brands like Adobe drive agility and innovation for their customers amidst a fast-growing, diverse, digital landscape,” said Max Schireson, CEO at MongoDB. “Proven and trusted, MongoDB delivers the scalability enterprises need to power their business.”