iDBQuery vs Mode Analytics: what's the difference?

Mode is a favourite of data analysts. It pairs a SQL editor with Python and R notebooks and polished, collaborative reports, so analysts can go from query to shared analysis in one place (it is now part of ThoughtSpot). For a team of SQL-fluent analysts, Mode is excellent.

iDBQuery is built for a different user and moment:

• No SQL or code required. You ask a question in plain language; iDBQuery writes and runs the SQL for you and returns a number, chart, table or dashboard.
• Cited by default. Every figure traces back to the exact source rows, so a non-technical stakeholder can trust and audit it.
• Across all your sources. Databases, warehouses, Excel, CSV, Sheets, PDFs, folders with OCR and REST APIs form one live model, with no notebook connections to wire up per project.
• Deploy anywhere. Cloud, VPC, Desktop or air-gapped.

They can also be complementary: analysts may still live in a notebook for deep, bespoke work, while the wider team uses iDBQuery to self-serve cited answers without waiting in a queue. Put simply, Mode is a workbench for people who write code; iDBQuery lets anyone ask a question and get an answer they can defend.