IronDB vs MongoDB: What are the differences?

# Introduction
When comparing IronDB and MongoDB, there are key differences that differentiate the two databases in terms of their architecture, functionality, and use cases.

1. **Data Structure**: IronDB is a time series database optimized for high-performance, real-time data processing, focusing on timestamped data with a fixed schema. MongoDB, on the other hand, is a document-oriented database that stores data in flexible JSON-like documents without a fixed schema, making it suitable for a wide range of use cases.
2. **Query Language**: IronDB utilizes a SQL-like query language for data retrieval and manipulation, providing a familiar interface for users already accustomed to traditional databases. MongoDB, on the contrary, uses a query language based on JavaScript and JSON, enabling users to perform complex queries and aggregations on document data efficiently.
3. **Scalability**: IronDB is designed for high scalability and performance, particularly suited for handling large amounts of time-series data in real-time applications. MongoDB offers horizontal scalability through sharding, allowing it to distribute data across multiple servers to meet the demands of growing datasets and workloads effectively.
4. **Consistency Model**: IronDB emphasizes data consistency and reliability, ensuring that updates and queries are always correct and up-to-date. MongoDB supports eventual consistency by default, providing high availability and partition tolerance at the expense of immediate consistency in distributed systems.
5. **Storage Engine**: IronDB employs a unique storage engine optimized for time-series data, utilizing compression and indexing techniques that enhance performance and reduce storage costs. MongoDB, on the other hand, offers pluggable storage engines such as WiredTiger and RocksDB, allowing users to customize their database configuration based on specific requirements.
6. **Community and Ecosystem**: IronDB has a smaller community and ecosystem compared to MongoDB, which enjoys widespread adoption and support from developers, organizations, and third-party tools. MongoDB's extensive ecosystem includes libraries, frameworks, and cloud services that enhance its functionality and integration capabilities.

In Summary, IronDB and MongoDB differ in their data structure, query language, scalability, consistency model, storage engine, and community support, each catering to distinct use cases and requirements in the database landscape.