Is this another BI tool?

QueryPanel is infrastructure for embedding analytics and generating safe SQL—built for product surfaces, not standalone analyst workspaces.

How do you handle tenant isolation?

Tenant context is part of generation and execution—not something you toggle later in a dashboard filter.

What does implementation look like?

Attach your database with the SDK, wire auth claims, and embed UI where customers already work. Scope follows your surfaces—not building a query engine from scratch.

How do you keep AI SQL accurate as schemas evolve?

Ground generation in synced schema metadata and your knowledge base—annotations, glossaries, and examples—so retrieval and SQL stay aligned with how your data model actually works.

How are tenants counted?

A tenant represents a distinct customer or organization within your SaaS product. We count the number of unique tenants that access or generate analytics in a given billing month.

What counts as an AI chart?

An AI chart is generated whenever an end-user asks a natural language question that results in a new chart, or when an editor uses AI to create or modify a dashboard block.

What happens when limits are exceeded?

You can purchase overage credits for AI charts. For tenant limits, we'll notify you when you approach your plan's limit and help you upgrade to the next tier. We never cut off access for your end-users without warning.

How are AI models selected?

We support OpenAI, Gemini, Anthropic, and even OpenRouter. Bring-your-own-key is available from Starter and above (including Growth and Scale). Custom plans also support bring-your-own-model setups. If you want a specific provider or model path, ping us at csaba.ivancza@querypanel.io.

QueryPanel vs Luzmo vs Explo vs Toucan

A practical compare page for SaaS teams evaluating embedded analytics suites.

Luzmo, Explo, and Toucan all serve SaaS teams that want analytics inside their product without building every reporting surface from scratch. This comparison is most useful when your team is deciding between a managed embedded analytics suite and a lighter QueryPanel path for AI-native, tenant-aware customer questions.

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Comparison at a glance

This table summarizes typical positioning. Every vendor changes over time—validate details against current documentation and your security review.

Dimension	Luzmo vs Explo vs Toucan	QueryPanel
In-app experience for end users	These tools generally focus on embedded dashboards, reports, or guided analytics surfaces that can be branded and integrated into a SaaS product.	First-class `@querypanel/react-sdk` components—`QuerypanelEmbedded` for a full dashboard, or `QueryPanelProvider` with `QueryInput` / `QueryResult` for a bespoke flow. They render in your React tree like any other product screen (layout, router, modals, tokens)—not a separate iframe "mini app" on another origin. Mint short-lived JWTs on your server; never ship your workspace private key to the browser.
Primary product shape	Managed embedded analytics suites with builders and configuration workflows for customer-facing reporting.	AI-native React workspace plus headless Node `ask()` calls for teams that want customer questions, SQL, and charts in one product loop.
Trainable knowledge & steering	Definitions, metrics, and dashboard behavior live primarily in the vendor platform and your surrounding data model.	Gold SQL queries (curated examples the model prioritizes), database annotations (business context on tables/columns, re-embedded with schema), glossary (domain terms and definitions), and tenant-level definitions (isolation field, enforcement, and per-tenant sync context so every ask() is grounded in the right customer slice—not a one-size global prompt).
Natural language workflow	Coverage varies by vendor and edition; evaluate current docs for AI assistant, report builder, and exploration depth.	Natural language to SQL and chart generation are central paths for both embedded users and server-side SDK calls.
Developer ownership	Lower front-end assembly work when the vendor's packaged dashboard and reporting model matches your needs.	More code-adjacent control: React components in your app, Node SDK in your API routes, and SQL execution in your environment.
Multi-tenant SaaS fit	Commonly positioned for customer-facing SaaS analytics; implementation details depend on your tenant model and data connection strategy.	Tenant id and isolation rules are part of the generated-query contract for embedded dashboards and NL questions.
Best first win	Launch branded dashboards or reporting surfaces with a vendor-managed analytics workflow.	Ship a tenant-scoped AI analytics route where customers ask questions and receive SQL-backed charts.

When Luzmo vs Explo vs Toucan is the better fit

Honest tradeoffs help your team pick faster—and match how buyers actually decide.

You want a vendor-managed analytics builder for dashboards, reporting, or guided customer analytics.
Your main need is branded dashboard delivery rather than natural-language SQL generation inside your product workflow.
You prefer configuring an embedded analytics platform over owning more of the query-generation and validation loop in code.

When QueryPanel is the better fit

You want a trainable knowledge system—gold queries, DB annotations, glossary, and tenant-aware definitions—so NL→SQL and charts reflect your business, not generic schema-only guesses.
You want customer questions to become SQL and charts directly inside your React app, with your backend signing JWTs and executing queries.
You need the same AI ask() contract for embedded dashboards, admin workflows, and custom product screens.
You want tenant context to be part of generation from the start instead of treating multi-tenant filtering as integration glue.
You prefer a smaller developer-owned surface over a broad embedded analytics suite.

Still evaluating Luzmo vs Explo vs Toucan and QueryPanel?

Start on the free tier, embed one dashboard, and compare implementation time against your current shortlist.

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