Conversational Analytics in BigQuery and Looker
Answers plain-language questions about data in BigQuery and Looker using the company's own definitions.
Software you sign up for or install and run yourself. Submitted listing, not yet checked. Nothing on this page is sponsored.
What it does
Conversational Analytics lets people ask questions of their data in natural language through agents grounded in the organisation's catalogue, glossaries and semantic definitions. It is generally available in BigQuery and Looker and through the Conversational Analytics API, and in preview for AlloyDB, Cloud SQL and Spanner. Agents can analyse the factors behind a change in a metric, send scheduled summaries, and, in the Agentic Workflows preview, start when a metric moves outside set thresholds. Access follows the existing role, row and column permissions.
- Type
- Software product
- Pricing
- Pricing not published
- Setup
- Needs configuration
- Access
- Web app, API
- Human review
- Runs without review
- Integrations
- BigQuery, Looker, Data Studio, Gemini Enterprise
- Vendor
- Google Cloud
- Website
- cloud.google.comChecked 19 October 2026
- Listed
- 19 October 2026
You provide
- Questions in natural language
- Data in BigQuery, Looker or connected sources
- Catalogue, glossary and semantic definitions
You receive
- Answers grounded in the company's data definitions
- Analysis of the factors behind a metric change
- Scheduled daily or weekly summaries
How the work runs
- 01
Connects to the data and its catalogue context
- 02
Takes a question in natural language
- 03
Queries the data within the user's permissions
- 04
Returns the answer or a scheduled summary
Before it is handed over
Runs without review. The work is accepted only when each of these is recorded.
- Administrators review agent traces and user feedback
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