Microsoft’s new Azure database savings plans promise more flexible, cross-service cost reductions than traditional reservations, giving IT teams another lever to manage rising cloud database spend ...
Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
Enterprises face challenges scaling AI beyond pilots as legacy systems, governance gaps, and infrastructure constraints hold them back. The post Overcoming barriers to database modernisation in the AI ...
AI is stress-testing database infrastructure. Teams using Liquibase Community face scaling challenges that only Liquibase ...
Oracle RAC Fast Restart Recovery: Helps reduce downtime created by node failures or planned maintenance operations. With Oracle AI Database 26ai RAC, online transaction processing (OLTP) applications ...
AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...
Oracle’s global layoffs are being viewed not as a sign of weakness but as a strategic move to free up cash for AI expansion, ...
KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...
Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...
The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...
Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.