QueryPanel vs Explo

Customer-facing analytics, AI reporting, and white-label delivery for SaaS products.

Explo frames its product around customer-facing analytics, AI-powered reports, and fast deployment for SaaS teams. The current positioning is strongest when buyers care about dashboards, report builder workflows, exports, white-label presentation, and getting an embedded reporting surface live in days.

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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	Explo	QueryPanel
In-app experience for end users	Explo emphasizes dashboards, AI-powered reports, white-label delivery, customer customization, and embedded sharing inside 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	Customer-facing analytics suite centered on dashboards, report builder workflows, exports, and embedded sharing.	AI-native React workspace plus headless Node `ask()` calls for teams that want customer questions, SQL, and charts in one loop.
Trainable knowledge & steering	Analytics behavior and report workflows are configured primarily in the vendor platform around your connected data sources.	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	Explo highlights AI-powered reports and dashboard customization as part of the embedded reporting workflow.	Natural language to SQL and chart generation are central workflows for both the embedded UI and headless API use cases.
Developer ownership	Faster time-to-reporting when dashboards, reports, and delivery methods already match your product expectations.	More developer-owned control: React SDK in the frontend, Node SDK in the backend, auth and execution fully aligned with your app stack.
Security & delivery model	Explo promotes white-label delivery, customer data sharing, direct database connections, and enterprise security features such as dedicated hosting and region-specific stacks.	Zero-trust path keeps credentials and query results on customer infrastructure when you need strict data-boundary control.
Best first win	Launch customer dashboards, AI reports, and export/share workflows quickly without building a reporting stack from zero.	Launch customer-facing AI analytics with product-native React UX, tenant-aware SQL generation, and a path to deeper customization.

Trainable knowledge base

Four layers your team—and your tenants—can train for better answers

Natural language is only as good as the context the model sees. QueryPanel's knowledge system lets you steer retrieval and SQL with curated examples, business meaning on the schema, shared glossary terms, and tenant-aware definitions—so customer-facing analytics matches how your product actually defines revenue, usage, and risk.

Gold queries

Save vetted SQL for recurring questions. Gold examples are retrieved with schema context and treated as the strongest pattern signal when they match the end user's intent—so joins, filters, and metrics follow what your team already proved in production.

Database annotations

Attach free-text business meaning to tables and columns. Annotations are merged into embedded schema chunks (“Business Context”) so search and generation see how revenue, activation, or ARR are really defined in your warehouse—not only raw column names.

Glossary

Define terms customers actually say (“active seat”, “net MRR”, “expansion”). Glossary entries are embedded alongside schema so the model resolves ambiguous language the way your finance and product teams mean it.

Tenant-level definitions

Per-tenant isolation settings and tenant-scoped schema sync mean each customer’s ask() carries the right tenant id and rules—so retrieval and generated SQL respect dynamic per-tenant shape, not a single global tenant-agnostic prompt.

Manage gold SQL and glossary from the dashboard knowledge base; annotations attach business context to schema objects; tenant isolation and sync keep per-customer context aligned. See documentation for SDK routes and ingestion APIs.

When Explo is the better fit

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

You want a productized embedded reporting stack with dashboards, AI reports, exports, and white-label delivery in one vendor package.
You care more about fast delivery of branded dashboards and customer reports than about owning the query-generation workflow directly in app code.
You want end users to customize dashboards and receive scheduled or shared data without your team building that whole layer from scratch.

When QueryPanel is the better fit

Especially strong for B2B SaaS shipping customer-facing analytics on Postgres and similar databases.

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 a Notion-like React analytics workspace with built-in AI assistant first, then a headless Node SDK for stricter zero-trust and custom UI paths.
You want natural-language analytics to be the main product interaction, not only AI-assisted report building around dashboards and exports.
You prefer to keep SQL generation reviewable in your own backend path and keep execution with your existing drivers and infrastructure.
You want one SDK path for embedded customer analytics, product-native customization, and server-side `ask()` calls from your own API.

Keep comparing the implementation details

Vendor fit depends on more than a feature matrix. These guides cover the security, embedding, and buying choices that usually decide a SaaS analytics rollout.

Embedded analytics tools

Compare common platform categories and buying criteria.

Tenant isolation guide

Plan the tenant boundaries behind every customer dashboard.

Native React vs iframe

Understand the customer UX and developer tradeoffs.

Ship the customer UI with React—not an iframe

Most teams lead with @querypanel/react-sdk: drop QuerypanelEmbedded on a normal product route, or compose QueryPanelProvider with QueryInput / QueryResult. It behaves like any other React subtree—your app shell, router, modals, and design tokens—not a separate cross-origin iframe "mini app" with its own layout chrome.

The browser talks to the QueryPanel API with a JWT you mint on your server (RS256). Never ship your workspace private key to the client.

React — QuerypanelEmbedded (tsx)

import { QuerypanelEmbedded } from "@querypanel/react-sdk";

// Render like any other page — not an iframe. Mint tenantJwt (RS256) on your server
// with @querypanel/node-sdk; pass only the JWT to the client.
export function CustomerAnalytics({ tenantJwt }: { tenantJwt: string }) {
  return (
    <QuerypanelEmbedded
      dashboardId="your-dashboard-id"
      apiBaseUrl="https://api.querypanel.io"
      jwt={tenantJwt}
      allowCustomization
    />
  );
}

Headless Node SDK (optional, for your API)

Use @querypanel/node-sdk on your backend to attach database clients, sync schema, sign JWTs for the React embed, and call ask() from API routes when you want a fully custom pipeline. SQL still runs with your drivers. Full quickstart in documentation.

Node — QueryPanelSdkAPI (typescript)

import { QueryPanelSdkAPI } from "@querypanel/node-sdk";

const qp = new QueryPanelSdkAPI(
  process.env.QUERYPANEL_URL!,
  process.env.PRIVATE_KEY!,
  process.env.QUERYPANEL_WORKSPACE_ID!,
);

// After attachPostgres / syncSchema — tenant comes from your auth layer
const result = await qp.ask("Revenue by country last quarter?", {
  tenantId: org.id,
  database: "analytics",
});

// result.sql, result.params, result.rows, result.chart — you execute SQL with your driver

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