In custom setups, the agents handle reasoning and orchestration, while QueryData is responsible for generating, validating, and executing queries against data sources, returning results that can be used in downstream actions or decision-making, Google explained in a blog post.
Creates new workload category
The new tool, according to Pareekh Jain, principal analyst at Pareekh Consulting, marks a shift from tool-based AI to outcome-bound agents with built-in guardrails, which should help enterprises move multi-agentic systems and applications into production, and enable “decision-grade use cases” across finance, operations, and supply chain departments.
However, he cautioned, though QueryData reduces the need for prompt engineering for developers and improves reliability at runtime, it shifts the burden to upfront design and ongoing maintenance.
