iDBQuery vs Tableau Pulse and Ask Data: what's the difference?

Tableau is renowned for visualisation, and its natural-language features build on that. Ask Data let users query a published data source conversationally, and Tableau Pulse now delivers a metrics layer with automated, AI-generated insights and digests over curated Tableau content. For teams invested in Tableau's world-class visual analytics, these are valuable additions.

They do, however, work best on well-prepared Tableau data sources and within the Tableau Cloud and Einstein ecosystem.

iDBQuery is designed to answer questions directly against your data:

• No curation gate. Ask plain-language questions of raw databases and files; the semantic layer interprets messy or cryptic schemas for you.
• Cited answers. Each figure links to the exact source rows, so results are auditable rather than an AI summary to trust.
• One live model across sources. Databases, warehouses, spreadsheets, APIs and documents are queried together with no pipeline.
• Deploy anywhere. Cloud, VPC, fully air-gapped, or Desktop, keeping data in place.

Because Tableau's visualisation is excellent, many teams keep it for polished dashboards and storytelling, and use iDBQuery as the fast, ask-anything layer that answers cross-system questions and returns a sourced number in seconds, without first publishing a curated data source.