AI is stress-testing database infrastructure. Teams using Liquibase Community face scaling challenges that only Liquibase Secure can solve.

- Keep the same structure and side effects. - Replace PostgreSQL-specific types/functions/system variables to Oracle equivalents. - If GLOBAL TEMPORARY TABLE is needed, use ON COMMIT semantics. - Keep ...

Abstract: This work introduces a schema-aware solution that employs the LLaMA 3.2 large language model to translate natural language (NL) queries into executable SQL statements. Unlike traditional ...

Enterprises need data, and data needs to be stored, with a flexible, portable environment that scales from developers’ laptops to global clouds. That storage also needs to be able to run on any OS and ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

The upcoming release adds asynchronous I/O and UUID v7 for faster transactions, yet lacks features to support HTAP and agentic AI workloads. The upcoming version of PostgreSQL 18, the latest release ...

Jean Joseph, a data & AI engineer with deep expertise in database development, will explain how to build AI-powered applications with Azure Database for PosgreSQL at at upcoming developer conference.

The open-source PostgreSQL (sometimes also referred to as Postgres) is apparently a very hot commodity for big enterprise data platform vendors. Unlike Neon, which was only a three-year-old company, ...

Empowering enterprises across industries to build and deploy secure, compliant AI agents and applications with Snowflake Postgres, powered by Crunchy Data's enterprise-grade PostgreSQL Organizations ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...