KairosDB vs MySQL: What are the differences?

# Introduction
Key differences between KairosDB and MySQL are outlined below.

1. **Data Model**: KairosDB is a time-series database specifically designed for handling time-series data, making it efficient for storing and querying timestamped data. On the other hand, MySQL is a relational database management system, optimized for handling structured data in tables with complex relationships.

2. **Query Language**: KairosDB uses its native query language to efficiently retrieve time-series data based on timestamps and other criteria. In contrast, MySQL employs SQL (Structured Query Language) for querying relational data, offering a more extensive set of features for complex queries involving joins, unions, and subqueries.

3. **Scalability**: KairosDB is horizontally scalable, allowing users to add more servers to the cluster to handle growing amounts of time-series data. MySQL, while supporting replication and clustering for read-heavy workloads, may require more effort and expertise to scale horizontally effectively.

4. **Performance**: Due to its specialization in time-series data, KairosDB can outperform MySQL in terms of write and query performance for timestamped data. MySQL, with its broader focus on relational data, may face performance limitations when dealing with large volumes of time-series data.

5. **Data Storage**: KairosDB stores data in a schema-less format optimized for time-series data, allowing for efficient storage and retrieval of timestamped information. In contrast, MySQL requires a predefined schema for storing data in a structured format, potentially leading to additional overhead in managing and querying time-series data.

6. **Use Cases**: KairosDB is well-suited for applications that primarily deal with time-series data such as IoT (Internet of Things), monitoring systems, and sensor data analysis. In contrast, MySQL is commonly used for traditional OLTP (Online Transaction Processing) applications, where complex relational queries and transactions are the focus.

In Summary, KairosDB and MySQL differ in terms of their data model, query language, scalability, performance, data storage, and use cases, catering to distinct requirements in handling time-series and relational data.