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QueryPanel 2.0 Review

QueryPanel 2.0 is a platform that transforms natural language inquiries into parameterized SQL queries and visualizations, enabling SaaS teams to embed customer-facing analytics dashboards seamlessly into their products.

shipped Aug 10, 2026researchfreemium
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Why it matters

1QueryPanel 2.0 offers a freemium pricing model, including a Free tier at $0/month.
2It provides an API for integration, with documentation available at https://querypanel.io/docs.
3The platform supports integrations with PostgreSQL, ClickHouse, BigQuery, and MySQL.
4QueryPanel 2.0 features multi-tenant isolation and AI chart generation for embedded analytics.

About QueryPanel 2.0

Business Model
Usage-Based (Pay Per Use)
Usage Pricing
Varied by plan limit per AI Chart
Headquarters
Hungary
Platforms
Web, API
Target Audience
SaaS product teams

Pricing Plans

Free
$0/mo
  • • 3 Tenants
  • • 50 AI Charts / mo
  • • 1 Dashboard
  • • 1 Data Source
Starter
$49/mo
  • • 10 Tenants
  • • 200 AI Charts / mo
  • • 5 Dashboards
  • • 2 Data Sources
Growth
$249/mo
  • • 100 Tenants
  • • 1,000 AI Charts / mo
  • • 50 Dashboards
  • • 5 Data Sources
Scale
$999/mo
  • • 1,000 Tenants
  • • 5,000 AI Charts / mo
  • • Unlimited Dashboards
  • • Unlimited Data Sources
Enterprise
Custom / monthly
  • • Unlimited Tenants
  • • Custom AI Charts
  • • Unlimited Dashboards
  • • Unlimited Data Sources

Cost Examples

  • • Exceeding 200 AI charts (Starter) incurs additional charges
API DocsGitHub

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is QueryPanel 2.0?

QueryPanel 2.0 is an AI-native embedded analytics platform developed by QueryPanel that enables SaaS teams to integrate customer-facing dashboards and AI assistants directly into their applications. It focuses on transforming natural language queries into parameterized SQL, visualizations, and embedded analytics surfaces, ensuring tenant-safe data presentation. The platform is designed for ease of use, allowing non-technical users to generate insightful reports without extensive engineering effort, and supports an SDK-first approach with both headful React SDK and headless Node SDK options. Its core functionality includes natural language to SQL conversion, embedded dashboards and charts, and multi-tenant isolation, enforcing tenant context during data generation and execution.

features

Key Features of QueryPanel 2.0

QueryPanel 2.0 provides a comprehensive suite of features designed for embedding AI-native analytics within SaaS products. These capabilities ensure data accuracy, security, and ease of use for both developers and end-users.

  • Natural language processing for SQL query generation.
  • Tenant-scoped analytics with built-in multi-tenant isolation.
  • Embedded dashboards and charts for seamless product integration.
  • AI chart generation from natural language inquiries.
  • Transforms natural language inquiries into parameterized SQL queries and visualizations.
  • AI-assisted tenant customization of dashboards.
  • Developer API available for backend integration and full UI control.
  • SDK-first approach with React SDK for analytics workspace and Node SDK for SQL generation.
  • Zero-trust execution model, with SQL executed in the customer's environment.
  • Trainable knowledge base utilizing gold SQL queries, database annotations, and glossaries.

use cases

Who Should Use QueryPanel 2.0?

QueryPanel 2.0 is primarily targeted at B2B SaaS teams, product managers, and founders who need to integrate customer-facing analytics directly into their products. It is particularly beneficial for industries requiring tenant-safe data isolation and AI-driven insights.

  • SaaS teams shipping customer-facing dashboards for product analytics (usage, adoption, retention).
  • Companies in fraud, fintech spend, payments, and lending requiring tenant-safe analytics.
  • Organizations needing to embed data visualizations and customer engagement tracking.
  • Teams supporting governed internal analytics workflows with AI assistance.
  • B2B SaaS products aiming to offer AI-assisted tenant customization of dashboards.

how to use

How to Use QueryPanel 2.0

QueryPanel 2.0 facilitates the integration of AI-native analytics into SaaS applications through its SDKs and API. Users can begin by connecting their database and defining their data schema.

  • 1Sign up for a QueryPanel 2.0 account, starting with the Free tier.
  • 2Connect your database (e.g., PostgreSQL, ClickHouse, BigQuery, MySQL) to the QueryPanel platform.
  • 3Utilize the React SDK to embed a complete analytics workspace or the Node SDK for headless SQL generation.
  • 4Define your data schema and provide annotations to train the AI for accurate natural language to SQL conversion.
  • 5Embed customer-facing dashboards and charts directly into your product's user interface.
  • 6Enable end-users to generate reports and visualizations using natural language inquiries.

pricing

QueryPanel 2.0 Pricing & Plans

QueryPanel 2.0 operates on a freemium and usage-based business model, offering several tiers to accommodate different team sizes and usage requirements. Each plan includes a specific limit on AI Charts, with additional charges for exceeding these limits.

  • Free: $0/month, includes 20 AI Charts.
  • Starter: $49/month, includes 200 AI Charts. Exceeding 200 AI charts incurs additional charges.
  • Growth: $249/month, includes 1,000 AI Charts.
  • Scale: $999/month, includes 5,000 AI Charts.
  • Enterprise: Custom pricing, designed for large organizations with specific needs.

Pros

  • +AI-native platform for transforming natural language into parameterized SQL and visualizations.
  • +Provides tenant-safe embedded dashboards and charts, crucial for multi-tenant SaaS applications.
  • +Offers a freemium pricing model, allowing teams to start with a Free tier at $0/month.
  • +Features a developer API and SDKs (React, Node) for flexible integration and UI control.
  • +Supports major database integrations including PostgreSQL, ClickHouse, BigQuery, and MySQL.
  • +Enables non-technical users to generate insightful reports without extensive engineering effort.

Cons

  • −Detailed public user reviews are not widely available on platforms like Slashdot or SourceForge.
  • −Usage-based pricing for AI Charts can lead to additional costs beyond tier limits.
  • −Requires initial setup and training of the AI knowledge base with gold SQL queries and annotations.
  • −While offering a native React UX, full UI control with the headless Node SDK requires developer effort.

Similar Tools

QueryPanel 2.0 vs Competitors

QueryPanel 2.0 differentiates itself in the embedded analytics market through its AI-native, developer-first approach, focusing on tenant-safe, customer-facing dashboards. It contrasts with traditional BI tools and other embedded solutions by emphasizing native React UX and zero-trust execution.

1
Chat2SQL↗

Chat2SQL focuses on generating SQL queries from natural language, with a strong emphasis on security and data privacy through self-hosting options.

While Chat2SQL excels at natural language to SQL generation, it might require more manual effort to integrate the generated queries into embedded visualizations compared to QueryPanel 2.0's more integrated dashboard embedding. It offers a free tier, but the self-hosting option for enhanced privacy might require more technical setup.

2
SQL Chat↗

SQL Chat is an open-source AI-powered SQL client that allows users to chat with their databases and generate SQL queries from natural language.

SQL Chat provides a robust open-source solution for natural language to SQL, which is a core component of QueryPanel 2.0. However, it primarily focuses on the query generation aspect and would require additional development effort to build and embed customer-facing dashboards and visualizations, unlike QueryPanel 2.0's more complete embedding solution.

3
Evidence↗

Evidence is an open-source, code-based business intelligence tool that allows developers to build data-driven reports and dashboards using SQL and Markdown.

Evidence offers a powerful open-source platform for building analytics, but it requires a more technical, code-centric approach to create reports and dashboards, which contrasts with QueryPanel 2.0's natural language interface for non-technical users. While it can produce embedded analytics, the initial setup and report creation involve more developer input.

4
Seek AIOn Stork

Seek AI provides a natural language interface for data analysis, allowing users to ask questions and receive answers and visualizations directly from their data.

Seek AI offers a similar natural language querying experience to QueryPanel 2.0, focusing on generating insights and visualizations. However, its pricing model is less transparent, and it might be geared towards a slightly larger scale of use, potentially making it a more significant investment compared to QueryPanel 2.0's freemium model for smaller teams.

See every QueryPanel 2.0 alternative, compared→

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GitHubgithub.com/querypanel/node-sdk
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LinkedInwww.linkedin.com/company/querypanel/