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Markets2026-08-03 · source-backed
The August 3 piece defines agentic BI explicitly against dashboards: a dashboard is a fixed set of charts built ahead of time by someone guessing which questions would matter, while an agent interprets the question in the moment, decides which tables to query, and can trigger a next step. The named stack is Genie for the conversational layer over governed Unity Catalog tables, Agent Bricks for agents that act rather than visualize, MLflow to trace and evaluate every query before production trust, and Unity Catalog column-level permissions so natural-language access can't bypass existing grants. The signal isn't the product set. It's an incumbent platform publishing the cannibalization argument itself, which Looker, Tableau and Amplitude now have to answer.
Each link below shares sources, entities, or timing with this story.
Databricks released Agent Bricks / Shared entities / Shared topic / Earlier coverage
Linked by a graph relationship (Databricks released Agent Bricks); both cover Databricks, Looker, Tableau; overlapping topics (agent, agentic, answer, dashboard).
Linked by a graph relationship (Databricks released Agent Bricks); both cover Databricks, Looker, Tableau; overlapping topics (agent, agentic, answer, dashboard).
Linked by a graph relationship (Databricks released Agent Bricks); both cover Amplitude, Databricks; overlapping topics (agent, amplitude).
Basedash competes with Tableau / Shared entities / Shared topic / Earlier coverage
Linked by a graph relationship (Basedash competes with Tableau); both cover Looker, Tableau; overlapping topics (access, agent).
Databricks released Agent Bricks / Shared entity: Databricks / Shared topic / Earlier coverage
Linked by a graph relationship (Databricks released Agent Bricks); both cover Databricks; overlapping topics (agent, answer).
Databricks released Agent Bricks / Shared entities / Shared topic / Earlier coverage
Linked by a graph relationship (Databricks released Agent Bricks); both cover Databricks, Genie; overlapping topics (agent, agentic).
Databricks released Agent Bricks / Shared entities / Earlier coverage
Linked by a graph relationship (Databricks released Agent Bricks); both cover Databricks, Genie, Looker, Tableau; earlier Databricks coverage from 2026-07-26.
Looker uses Gemini / Shared topic / Tension
Linked by a graph relationship (Looker uses Gemini); overlapping topics (access, against, agent); pushes against this story (against).