Eric Avidon

New capabilities, such as data quality agents and a feature that makes data products more reusable, support engineers to help organizations more easily achieve their AI goals.

While not the first AI governance suite, the vendor's Intelligence Operating System is somewhat unique by unifying data, context and agents in one environment.

The database vendor is entering a crowded market with the launch of a database purpose-built for agents by unifying disparate data workloads.

Native access to data lakes and a new data retrieval engine highlight the latest release as the vendor competes for market share amid a crowded field.

Amid slow growth and a sliding stock price, the analytics provider is the latest specialist to join forces with a larger enterprise rather than remain independent.

The tech giant's latest offering is a scaled-down version of its Exadata platform and helps differentiate its lineup of databases from those of competing providers.

Awareness enabled by appropriate data and business logic is one of the differences between agentic applications that properly perform and those that never reach production.

One after another throughout 2026, data management vendors have unveiled new tools targeting a single goal: connecting AI agents with context.

When connected with relevant context, agents can increase organizational efficiency and reduce spending. When left to guess, they can cause significant harm.

The vendor's Web Search Agents autonomously learn domain-specific use cases to help enterprises collect contextually relevant information for AI and analytics.