Planet NoSQL

From search to CRM, applications are adopting natural language and intuitive interactions. Should databases follow? This article provides a strategic perspective. Amid the many technological evolutions in software and hardware (CISC/RISC, Internet, Cloud, and AI), one technology has endured:  Relational Database Systems   (RDBMS), aka SQL databases. For over 50 years, RDBMS has survived and thrived, overcoming many challenges. It has evolved and adopted beneficial features from emerging technologies like object-relational databases and now competes robustly with   NoSQL databases .  Today, RDBMS dominates the market, with four of the top five databases and seven of the top ten being relational. RDBMS has smartly borrowed ideas, like JSON support, from NoSQL, while NoSQL has also borrowed from RDBMS. NoSQL no longer rejects SQL. From a user perspective, all modern databases have SQL-inspired query language and a set of APIs. All applications manage the respective data...

  The landscape of software development is ever-evolving with the advent of new technologies. As we venture into 2023, natural language processing ( NLP ) is rapidly emerging as a pivotal aspect of programming. Unlike previous generations of tools that primarily aimed at enhancing coding productivity and code quality, the new generation of Artificial Intelligence ( GenAI ) tools, like iQ, is set to revolutionize every facet of a developer's workflow. This encompasses a wide range of activities: Reading, writing, and rewriting specifications Designing, prototyping, and coding Reviewing, refactoring, and verifying software Going through the iterative cycle of deploying, debugging, and improving the software Create a draft schema and sample data for any use case Natural language queries. Generate sample queries on a given dataset Fix the syntax error for a query Don't stop here. Let your imagination fly. Although the insights garnered from iQ are preliminary and should be treated ...