NoSQL vs. Oracle Big Data SQL Cloud Service vs. Python vs. QBasic Comparison Chart

Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.

QBasic as well as QuickBasic is an easy-to-learn programming language (and therefore ideal for beginners), based on DOS operating system, but also executable on Windows. QBasic is the slimmed-down version of QuickBasic. Compared to QuickBasic, QBasic is limited as it lacks a compiler. Therefore QBasic cannot be used to produce executables (.exe files). The source code (usual files with .bas extension) can only be executed immediately by the built-in QBasic interpreter. Furthermore, QuickBasic has a more extensive command set than QBasic. The best way to learn to program is to start with a lightweight programming language and a simple compiler. Qbasic (short: QB) has great advantages for pros and beginners that other compilers can't offer. Back then, when DOS was the most widely used operating system, QB IDE enjoyed great popularity. On current Windows systems, QBasic/QuickBASIC requires a DOS emulator, e.g. DOSBox.