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Metabase Embedded Analytics

Metabase Embedded Analytics

Get in-product analytics quickly without waiting for sprints

Website metabase.com
Overview

What it is

Metabase is the easy-to-use, open source Business Intelligence tool that lets everyone work with data, with or without SQL. Make self-service analytics finally happen in your org, or embed Metabase in your app for customer-facing analytics.

Intent

I need it when

Embed customer-facing analytics dashboards and reports directly into a SaaS product

Metabase's Embedded Analytics SDK and white-label capabilities enable developers to embed dashboards, visualizations, and AI-powered self-serve reporting into applications. Supports iframes for speed or React SDK for customization, with multi-tenant data segregation via row-level security, connection impersonation, or database routing.

Enable non-technical team members to explore and analyze data without writing SQL

Metabase's visual query builder and natural language AI (Metabot) allow anyone to create questions, build dashboards, and explore data through point-and-click filters, summarizations, and conversational prompts. Users can drill through data, create custom expressions, and preview results without SQL knowledge.

Ensure data governance and compliance by controlling who sees what data across the organization

Metabase provides granular permissions through row-level and column-level security rules, connection impersonation for database-enforced access, database routing for multi-tenant isolation, and locked parameters for embedded analytics. Integrates with SSO (SAML, LDAP, JWT, Google) and supports SOC1, SOC2, GDPR, and CCPA compliance.

Get AI-assisted insights and query generation while maintaining data privacy and semantic accuracy

Metabase AI (Metabot) generates queries, summaries, and answers in natural language using the semantic layer defined in Data Studio. Queries run against the user's warehouse without data ingestion or storage, respects existing permissions, and provides inspectable answers linked to underlying queries and models.

Create interactive dashboards and reports that tell a data story with context and explanations

Metabase Documents combine visualizations with narrative text, allowing teams to explain trends, add context, and collaborate asynchronously via comments. Dashboards support filters, drill-throughs, and scheduled email/Slack subscriptions to keep teams aligned on KPIs and metrics.

Drop

Not a fit when

  • Organization requires real-time data ingestion and storage; Metabase queries run against your warehouse without ingesting or storing data
  • Team needs advanced data transformation pipelines; Metabase is a querying and visualization layer, not an ETL tool
  • Users require native SQL query access with row-level security on non-SQL databases like Druid; RLS doesn't apply to native SQL queries on non-SQL databases
  • Organization cannot manage AI provider integration; self-hosted deployments require customers to configure their own AI provider
  • Use case requires real-time collaborative editing with multiple simultaneous users on the same query; Metabase is designed for asynchronous collaboration
Commercials

Pricing

Freemium with open-source option; paid tiers include Pro and Enterprise with advanced features like embedded analytics SDK, white-label analytics, and data segregation View pricing