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AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
The InfoWorld Technology of the Year Awards recognize the year’s best and most innovative products in AI, cloud, data analytics, devops, and software development.
MongoDB is still the most popular NoSQL document database for developers, but compatible alternatives such as DocumentDB offer more choices than ever.
If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges.
Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards.
For AI agents, a knowledge base fuels fast and accurate responses and enables complex reasoning. We asked the experts how to build one.
Microsoft’s latest database is a fast, scalable PostgreSQL for cloud-native and AI developers.
Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing PostgreSQL databases did not.
Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run.
With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and enables autonomous action.