iDBQuery vs Holistics: what's the difference?

Holistics is a thoughtful, modelling-centric BI tool. Its AML as-code semantic layer lets data teams version-control data models, define reusable metrics, and expose governed self-service exploration to business users, all rooted in SQL. For teams that value a well-engineered, git-friendly modelling workflow, Holistics is a clean, capable choice.

The trade-off is that meaningful self-service still depends on the data team building and maintaining that model first.

iDBQuery lowers the barrier to a first answer:

• Ask immediately. iDBQuery's own semantic layer interprets cryptic schemas, so users can ask plain-language questions without a hand-built model as a prerequisite.
• Cited answers. Every figure links to the exact source rows, making results verifiable rather than reliant on trust in the model.
• One live model across sources. Databases, warehouses, spreadsheets, APIs and documents are unified into a single queryable model with no pipeline.
• Analyst agent. It can autonomously investigate an open-ended question and return a sourced answer.
• Deploy anywhere. Cloud, VPC, air-gapped, or Desktop, with query-in-place.

If your data team wants full control over a modelled, as-code semantic layer, Holistics is excellent. If you want business users to get trustworthy, cited answers quickly, across many systems and even messy schemas, iDBQuery is designed for that speed.