QueryPanel
AI tool that turns customer questions into charts and dashboards inside your own SaaS product, without your engineers writing SQL by hand.
🔗 Visit QueryPanel
Description
Most SaaS companies eventually get the same request from customers: "can I see my own data in a dashboard, inside your app?" Building that from scratch usually means months of engineering work — designing a query layer, isolating each customer's data from every other customer's, and building chart UI that doesn't look bolted-on. QueryPanel is built to skip most of that: you point it at your database, and it lets your own customers ask plain-English questions that get turned into working charts and dashboards they can see inside your product.
Under the hood, QueryPanel converts natural-language questions into SQL with built-in tenant-context enforcement, so each customer only ever sees their own rows even though the AI is writing arbitrary queries. It connects to PostgreSQL, ClickHouse, BigQuery and MySQL, ships as a headless SDK plus ready-made React components, supports white-labeling so the dashboards carry your brand instead of QueryPanel's, and includes a Notion-like editor so non-engineers on your team can adjust layouts once they exist. An MCP-compatible layer is also exposed for teams wiring internal AI workflows on top of the same data.
💬 Our review
The short version: if you're a SaaS team that keeps getting asked for "a dashboard for our data" and dreads building a bespoke analytics layer, QueryPanel's pitch — natural-language-to-SQL with tenant isolation baked in — solves the specific, expensive part of that problem; just budget real integration time, because no embedded-analytics tool is truly drop-in.
Against general-purpose BI tools like Metabase or Cube, QueryPanel's edge is that it's built from day one for embedding inside someone else's multi-tenant product, not for an internal team looking at its own warehouse — tenant isolation and white-labeling are core features, not workarounds. Compared to enterprise embedded-analytics platforms like ThoughtSpot Embedded or Luzmo, QueryPanel is considerably cheaper to start (a real free tier, then $49/month) but is a younger, smaller product with a shorter track record — worth weighing if uptime and support SLAs matter more than price at your stage. The free tier's 3 tenants and 50 AI charts a month is really a proof-of-concept allowance, not something to run production traffic through; the $49/month Starter tier is where this becomes a genuine option for an early-stage SaaS company.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Gratuit : 3 tenants, 50 graphiques IA/mois. Starter 49$/mois : 10 tenants, 200 graphiques/mois. Growth 249$/mois : 100 tenants, 1000 graphiques/mois. Scale 999$/mois : 1000 tenants, 5000 graphiques/mois. Enterprise sur devis.
Pros
Conversion langage naturel → SQL avec isolation multi-tenant intégrée dès la conception
Compatible PostgreSQL, ClickHouse, BigQuery et MySQL
SDK headless + composants React prêts à l'emploi
White-label complet, éditeur façon Notion pour les non-développeurs
Cons
Palier gratuit limité (3 tenants, 50 graphiques/mois) — surtout un test
Nécessite un vrai travail d'intégration SDK, pas branchement instantané
Produit jeune, historique de fiabilité encore court face aux acteurs établis
Palier payant d'entrée (49$/mois) déjà nécessaire pour un usage réel