iDBQuery vs Sisense: what's the difference?

Sisense is a capable enterprise platform. Teams use its ElastiCube in-memory engine to model and accelerate data, its dashboards for BI, and its SDKs to embed analytics inside their own applications. For product teams that need polished embedded charts and can invest in modelling, Sisense is a serious option.

iDBQuery takes a different path:

• No cube to model. There is no ElastiCube or ETL step to build and maintain; iDBQuery builds one live queryable model across your sources and queries them in place.
• Ask in plain language. Instead of designing widgets, anyone types a question and gets a cited answer in seconds.
• Citations by default. Every figure traces back to the exact source rows, so a stakeholder can audit any number.
• Unifies more than databases. Alongside SQL databases and warehouses, iDBQuery reads Excel, CSV, Google Sheets, PDFs, folders of files with OCR, and REST APIs.
• Deploy in your walls. Cloud, VPC, a local Desktop app, or fully air-gapped.

iDBQuery also offers an embedded SDK if you want to put a cited-answer chat experience inside your own app; the difference is what gets embedded, pre-built dashboards versus a question-answering assistant. Sisense shines when you are building and shipping dashboards; iDBQuery shines when people just want trustworthy answers to their own questions.