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What is ClickHouse?
ClickHouse is an open-source column-oriented DBMS (or database management system) primarily used for OLAP (or the Online Analytical Processing of queries). It is capable of blazing fast generation of real-time analytical data and reporting utilizing SQL queries. It is fault tolerant, scalable, highly reliable and contains a feature rich tool set.
In a regular database, data is stored in tables, columns, and rows. In a table, the related values are physically stored side by side in one row, which is critical to how it operates. This is how most string type databases work.
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What is NoSQL?
A NoSQL or a NoSQL Database is a term used when referring to a “non SQL” or “not only SQL” database. NoSQL databases store data in a different format than a traditional relational database management systems. This is why NoSQL is often associated with the term “non-relational” database. Simply put, NoSQL databases are modern databases with high flexibility, blazing performance, and built for scalability. These databases are used when you require low latency and high extensibility while working with large data structures. The versatility of NoSQL is due to the nature of as being unrestricted in comparison to relational databases models such as MySQL or DB2.
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Data in a MySQL/MariaDB database is stored in tables. A simple way of thinking about indexes is to imagine an extensive spreadsheet. This type of system is not always conducive to quick searching; that’s where an index becomes essential. If there is no index, then the database engine has to start at row one and browse through all the rows looking for the corresponding values. If this is a small table, then it is no big deal, but in larger tables and applications where there can be tables with millions and even billions of rows, it becomes problematic. As you can imagine, searching through those rows one by one will be time-consuming, even on the latest hardware. The solution is to create an INDEX (or more than one) for your data.
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