A few well known examples of conversational analytics platforms include:
- Draxlr AI. Ask a question in plain English and get back a chart you can save straight to a dashboard, with the SQL behind it there if you want to check or tweak it. Draxlr connects directly to your own SQL database, so there is no semantic layer to configure and no BI admin needed to get started.
- ThoughtSpot Spotter. An AI agent built into ThoughtSpot that answers data questions in natural language and lets you refine results conversationally.
- Power BI Copilot. Microsoft's assistant inside Power BI that generates reports and answers questions about your data using natural language prompts.
- Tableau Pulse. Tableau's conversational layer that surfaces metrics and lets you ask follow-up questions about the data behind them.
Most of these platforms are add-ons to an existing enterprise BI tool. Draxlr connects directly to SQL databases like Postgres, MySQL, BigQuery, and Snowflake, so conversational queries work without a separate semantic layer or enterprise BI license. For a broader comparison, see our best natural language query tools for BI short question.