Mongo DB Evolution
Early Versions
MongoDB 1.0 (2009)
Inception: Introduced as an open-source NoSQL database, focusing on document-oriented storage and scalability.
MongoDB 1.2 - 1.4 (2010-2011)
Enhancements: Added features like geospatial indexes, sharding improvements, and enhanced replication.
Milestones and Major Versions
MongoDB 2.0 (2011)
Aggregation Framework: Introduced for advanced querying, along with sharding enhancements and replica set tagging.
MongoDB 2.2 (2012)
Improvements in Querying: Introduces the $lookup operator and improved locking mechanisms.
MongoDB 2.4 (2013)
Full-Text Search: Introduced text search capabilities and enhancements in geospatial indexing.
MongoDB 2.6 (2014)
Write Operations and Security: Improvements in write operations with bulk operations and enhancements in security features.
MongoDB 3.0 (2015)
WiredTiger Storage Engine: Introduced as the default storage engine, offering significant performance improvements.
Document Level Concurrency: Improved concurrency control at the document level.
MongoDB 3.2 (2016)
Encrypted Storage Engine: Introduced the Encrypted Storage Engine, enhancing data security at rest.
$lookup Enhancements: Expanded capabilities in the $lookup aggregation operator.
MongoDB 3.4 (2016)
Faceted Navigation and Views: Introduced faceted navigation and read-only views.
Enhancements in Security: Expanded role-based access control and auditing features.
MongoDB 3.6 (2017)
Change Streams: Introduced to enable real-time monitoring of database changes.
Array Updates: Added new array operators for better array manipulation.
MongoDB 4.0 (2018)
Multi-Document ACID Transactions: Introduced ACID transactions across multiple documents.
Scalability and Performance Improvements: Further enhancements in performance and scalability.
MongoDB 4.2 (2019)
Distributed Transactions: Enhanced support for distributed transactions across multiple shards.
Wildcard Indexes: Introduced to simplify query patterns.
Recent Advancements
Version 4.4, 5.0, and Beyond: Continued enhancements in performance, security, and developer experience.
Atlas, Realm, and Cloud Offerings: Introduction of MongoDB Atlas, Realm, and various cloud-based services for better scalability and management.
MongoDB's evolution has consistently focused on scalability, performance, security, and ease of use, making it a popular choice for modern application development, especially in scenarios requiring flexibility in data modeling and high scalability.