Raijin Database Engine

The Raijin Database engine is an advanced SQL-like database that tries to fill the gap between SQL and Document databases while also providing a solution to today's data challenges.

Vast amounts of data are generated by machines and humans that both old school relational SQL databases and the new breed of NoSQL systems struggle with such as the following.

Time series event data, metrics, sensor data, logs and other machine generated data, Clickstream data, E-Commerce data, Stock ticks and financial instrument data, Call Detail Records, Other semi-structured data.

Most SQL systems were designed for transactional data processing. Many of these OLTP systems work with data one tuple at a time and are unsuitable for processing large amounts of data especially when analytical queries are involved. Analytic RDBMS products - mostly those that have a columnar architecture - generally do a much better job but are still plagued by the limitations of SQL when it comes to processing this kind of data. Rigid database schemas get in the way of application development and ongoing schema maintenance becomes a burden.

To come around these limitations IT engineers frequently combine document databases or other NoSQL solutions with RDBMS products in order to store and process denormalized data. Unfortunately most of these document database systems suffer from the same issue that OLTP systems have when it comes to analytical type workloads. Some don't support any analytical queries at all and the sole purpose of using a NoSQL solution is to be able to easily store semi-structured data.

The goal of the Raijin Database engine is to provide a solution to this issue. Backed by our decade of experience working with database systems in this area, Raijin also implements concepts from modern database research in addition to our own novel ideas.