Most exchange backends still run on Linux - matching engines, market-data services, FIX gateways, and high-throughput trading ...

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 ...

Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...

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 ...

Tech executives explain how they're moving beyond legacy Excel mapping to build AI data pipelines that cut integration ...

New enterprise connectors for SharePoint Online, OracleDB, SMB, and LDAP expand out-of-the-box data access for AI ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

AI. Learn why the schema confidence gap matters, what it costs, and how to close it with automated governance.

Infosecurity outlines key recommendations for CISOs and security teams to implement safeguards for AI-assisted coding ...

Abstract: Distributed database systems offer scalability and fault tolerance by replicating databases across geographically dispersed nodes. This redundancy aims to ensure data availability even ...