ABAP vs. JavaScript vs. Oracle Big Data SQL Cloud Service vs. Scala Comparison Chart

ABAP (Advanced Business Application Programming) is SAP’s proprietary fourth‑generation programming language, purpose‑built for mass data processing in SAP business applications. Utilized within SAP NetWeaver, it enables companies running SAP ERP and S/4 HANA to tailor systems precisely to their needs. ABAP is a multi‑paradigm language that supports procedural, object‑oriented, and other programming styles. It can seamlessly interoperate with languages such as Java, JavaScript, and SAPUI5. ABAP embraced object orientation with release 4.6C (2000) and saw even greater efficiency gains in ABAP 7.4/7.5, cutting code length by up to 50% via richer syntax, enhanced Open SQL, ABAP Managed Database Procedures, and Core Data Services (CDS) Views. The arrival of SAP HANA in 2011 shifted much processing into the in‑memory database layer, enabling real‑time operations and unlocking powerful new programming possibilities.

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.