Federated query across sources

Peaka lets one query span several connected systems as if they were a single database. A Beam agent runs an approved query, reads the combined result, and applies the rule your team set to whatever it finds, then writes the outcome to the destination named in that rule. Owners are notified when the numbers cross a threshold worth attention. Queries that return unexpected volumes, hit a source that is unavailable, or produce results the agent cannot line up with prior runs are paused and handed to a person, who checks the sources before any action follows.

Zero-ETL data blending

Rather than copying data into a warehouse first, Peaka blends it live at query time. A Beam agent uses this to read fields from separate systems together, joins them under an approved definition, and writes a unified record back where downstream work expects it. The owner sees a note when a blend completes or changes shape. Joins that produce duplicates, leave key fields empty, or mix incompatible types are stopped and passed to a person, who confirms how the sources should combine before the agent stores or forwards the blended result.

Virtual table modeling

Peaka exposes connected data as virtual tables that behave like ordinary database tables. A Beam agent reads from these tables on a schedule or trigger, applies the rule that governs the workflow, and updates records or notifies owners based on what the data shows. Notifications go out when a defined condition is met. Tables that return a schema the agent does not recognize, a source that has changed structure, or values well outside expected ranges are flagged for a person, who reviews the model before the agent continues to rely on it.