Scudata inherits from Raqsoft. It is composed of SPL team of Raqsoft. Scudata will further develop and promote SPL as an open source software. SPL is the software for computing (semi)structured data, mainly. Technologically, it constitutes the triad of three things: 1）A programming language: SPL is a brand new programming language to facilitate the programming process for structured data computing, and is proved to have excellent performance in handling most computing scenarios. It is particularly suitable for dealing with complicated procedural computations. SQL, Java and Python are the languages that can handle the similar thing. 2）A data computing middleware: SPL provides a computing ability independent of databases. It can perform various types of structured data computations independently, and is very integration-friendly as it can be easily embedded into an application. It is suitable for dealing with computing scenarios where databases are absent or that involve multiple databases. Databases and ETL tools are now generally used to handle those computations. 3）A big data computing platform: SPL has its own cluster computing system for processing large amounts of data. The system offers a distributed computing environment where programmers can control the task distribution to implement the most appropriate and efficient algorithm. The two rivals in this field are Hadoop and MPP database. SPL aims to facilitate algorithm description and speed up execution. A difficult description results in high development cost and makes coding process really hard. The slow execution is time-consuming and thus the program is unserviceable. Essentially, the fast execution comes from efficient algorithm description. Since we can't enhance hardware performance through software, creating more efficient algorithms is the only choice. But if it is hard or impossible to describe a fast algorithm, the efficient execution is impossible, too.