Open-Source SPL Boosts MongoDB Computing Ability

MongoDB is a typical NoSQL database. Its document-oriented structure makes both storage and access convenient and efficient. But the database has rather weak computing ability. Computations on MongoDB data, particularly complex ones, are hard to handle. A data computing engine having powerful computing capability is needed to work with MongoDB to achieve relevant computing tasks.

The open-source esProc SPL is a specialized structured data computation engine. It supplies rich class libraries and all-around, database-independent computational capabilities. SPL has an independent procedural syntax that is particularly good at handling complex computations. It can help MongoDB increase its ability to compute, accomplish grouping and aggregation, joins, subqueries, and all the other computing tasks effortlessly.

Open-Source SPL Helps Java Handle Files of Open Formats: TXT, CSV, JSON, XML, and XLS

It is common to process data files of open formats like TXT, CSV, JSON, XML, and XLS in Java applications. Hardcoding in Java is extremely complicated, so we often turn to certain ready-for-use open-source packages, but each package has its weaknesses.

Parsing Library

This type of class library enables to read an external file in Java as the latter’s internal object through a simpler coding process than hardcoded data retrieval. Common products include: