Carbon Language vs. NoSQL vs. Oracle Big Data SQL Cloud Service vs. V Programming Language Comparison Chart

Carbon Language: An experimental successor to C++. Performance matching C++ using LLVM, with low-level access to bits and addresses. Interoperate with your existing C++ code, from inheritance to templates. Fast and scalable builds that work with your existing C++ build systems. Solid language foundations that are easy to learn, especially if you have used C++. Easy, tool-based upgrades between Carbon versions. Safer fundamentals, and an incremental path towards a memory-safe subset. Carbon is fundamentally a successor language approach, rather than an attempt to incrementally evolve C++. It is designed around interoperability with C++ as well as large-scale adoption and migration for existing C++ codebases and developers.

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.