Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...
Built-in intelligence – SQL Server 2025 optimising performance and insightExplore how SQL Server 2025’s built-in intelligence helps organisations optimise performance, gain deeper insight and reduce ...
Microsoft has made Fabric IQ's business ontology accessible via MCP to any AI agent from any vendor, targeting the core ...
NetLib Security, a leader in transparent data encryption, today announced the general availability of Encryptionizer Winter 2026, alongside significant upgrades to the Encryptionizer Key Manager (EKM) ...
NetLib Security, a leader in transparent data encryption, today announced the general availability of Encryptionizer Winter 2026, alongside significant upgrades to the ...
The Database Hub provides a single, centralized management hub for Azure SQL, Cosmos DB, PostgreSQL, and more. SQL databases ...
Elon Musk unveils “Macrohard,” a Tesla and xAI AI system designed to perform complex computer tasks and potentially replicate the functions of software companies.
Hey folks, Vladan here. If you've followed my blog for any length of time, you know I'm always keeping an eye on backup and ...
Membership highlights growing collaboration between independent security vendors and Microsoft’s enterprise defense platform.
Keeper Security, the leading zero-trust and zero-knowledge identity security and Privileged Access Management (PAM) platform, is offering KeeperDB, a new vault-embedded database access capability that ...
Microsoft used Nvidia's GTC conference this week to roll out a series of enterprise AI announcements spanning agent infrastructure, real-time voice interactions and next-generation GPU deployments.
New capability embeds a secure, zero-trust database interface directly into the Keeper Vault, eliminating exposed credentials, unmanaged tools and insecure access paths Keeper Security, the leading ...
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