Honest pros, cons, and verdict on this data & analytics tool
✅ Usable free plan with unlimited reports and all export formats
Starting Price
Free
Free Tier
Yes
Category
Data & Analytics
Skill Level
No Code
AI data analyst that turns plain-language questions into SQL, charts and tables, then saves results to shareable dashboards and reports.
Intellrise is an AI data analyst aimed at small data teams. Users connect a database or spreadsheet, ask questions in plain language, and get back the generated SQL, a chart and the underlying table. Answers can be refined through follow-up chat, for example by adding a profit-margin column or grouping by month, and any result can be pinned to a dashboard or folded into a report.
For more involved questions, Intellrise shows a readable query plan covering sources, joins, filters and aggregation, which can be approved before anything runs. A single question can join across connected sources. A semantic layer annotates tables and columns automatically and keeps meanings that users clarify in chat, so field definitions persist between sessions and stay with the team when people leave. Teams using dbt can point it at their mart schemas.
month
month
Intellrise delivers on its promises as a data & analytics tool. While it has some limitations, the benefits outweigh the drawbacks for most users in its target market.
AI data analyst that turns plain-language questions into SQL, charts and tables, then saves results to shareable dashboards and reports.
Yes, Intellrise is good for data & analytics work. Users particularly appreciate usable free plan with unlimited reports and all export formats. However, keep in mind free, pro and team plans require supplying your own ai provider key.
Yes, Intellrise offers a free tier. However, premium features unlock additional functionality for professional users.
Intellrise is best for Small data teams answering ad-hoc business questions without writing SQL by hand and Building shared KPI dashboards on PostgreSQL, MySQL or Redshift. It's particularly useful for data & analytics professionals who need plain-language questions answered with sql, chart and table.
There are several data & analytics tools available. Compare features, pricing, and user reviews to find the best option for your needs.
Last verified March 2026