Unable to find what you're searching for?
We're here to help you find itMongoDB is a powerful NoSQL database designed for scalability, flexibility, and high performance. Unlike traditional relational databases, MongoDB stores data in a document-oriented format using JSON-like structures, making it ideal for modern applications, big data processing, and real-time analytics. Leading organizations such as Google, Facebook, Amazon, and eBay use MongoDB to handle vast amounts of data efficiently.
As businesses move towards cloud computing, microservices, and AI-driven applications, the demand for MongoDB expertise continues to rise. Learning MongoDB is essential for developers, database administrators, and data engineers looking to build scalable, high-performance applications. The database supports distributed architectures, automatic sharding, and replication, making it a top choice for organizations managing large-scale applications.
Whether you are working on enterprise applications, IoT solutions, or AI-driven platforms, MongoDB offers the performance and flexibility needed to handle complex datasets. Mastering MongoDB equips professionals with in-demand skills to excel in today’s data-driven world.
Clear All
Filter
Clear All
Clear All
Clear All
MongoDB was developed in 2007 by 10gen, later rebranded as MongoDB Inc. The goal was to create a scalable, high-performance database that could handle large-scale distributed applications. Released as an open-source NoSQL database in 2009, MongoDB quickly gained traction due to its schema-less architecture and support for JSON-like documents.
Over the years, MongoDB has introduced advanced features such as horizontal scaling, auto-sharding, and multi-cloud compatibility, making it a preferred choice for big data applications. Major companies, including Adobe, Verizon, and AstraZeneca, leverage MongoDB for their data storage and processing needs.
With continuous innovation, MongoDB has evolved into a leading database solution for businesses looking for high availability, flexibility, and seamless integration with modern tech stacks.
MongoDB is evolving to meet the demands of modern applications and cloud-native architectures. One of the biggest trends is the rise of MongoDB Atlas, a fully-managed cloud database service that supports multi-cloud deployments. This enables businesses to scale applications effortlessly while reducing infrastructure management costs.
With the increasing adoption of AI and machine learning, MongoDB's real-time analytics capabilities are gaining importance. Features like time-series collections, native sharding, and global clusters are enhancing performance for big data and AI-driven applications.
Another key trend is the integration of MongoDB with Kubernetes to support containerized applications. As organizations move towards DevOps and microservices, MongoDB provides high availability, fault tolerance, and automated scaling to streamline modern deployments.
With continuous enhancements in security, indexing, and query optimization, MongoDB remains a top choice for businesses building next-generation applications.
Ans - No, the published fee includes all applicable taxes.
