Metabase

Ask questions in plain English

Metabase AI lets anyone explore data, visualize results, and answer their own questions using natural language. You can also connect to the MCP server, CLI, APIs, and Slack to work with your data.

Get answers without writing SQL or waiting for engineers.

Governed metrics and data models

Data Studio lets you curate a semantic layer of canonical tables and metrics. Mark vetted data sources so everyone builds on consistent, accurate foundations.

Ensure consistent, trustworthy answers for humans and AI.

Interactive dashboards and alerts

Filter and breakout interactive dashboards, combine charts with text in Documents for collaborative reporting, and set up subscriptions and alerts to keep everyone in the loop.

Share insights and stay updated without manual exports.

Embed dashboards in your app

Use the embedding SDK to add interactive questions and dashboards to your SaaS product. Multi-tenant, customizable components with permissions built in.

Ship customer-facing analytics in days, not sprints.

Enterprise-grade security

Metabase is SOC 1, SOC 2, GDPR, and CCPA compliant. Granular permissions, SSO (SAML, LDAP, JWT, Google), and multi-tenant data segregation keep data safe.

Meet compliance requirements while scaling from pre-seed to post-IPO.

Self-host or use Metabase Cloud

Deploy in minutes with a Docker command or use the cloud. Always open source, with AI features included. Scales from small teams to large enterprises.

Start simple and scale infinitely with flexible deployment.

• Open source and self-hostableMetabase is open source and can be self-hosted with a simple Docker command, giving you full control over your data and infrastructure. It is used by millions worldwide and trusted by 100,000+ companies.
• AI analytics with a semantic layerMetabase AI lets users ask questions in plain English, with answers guided by your curated semantic layer (metrics and business logic). Every answer includes the underlying query for verification, ensuring trust and accuracy.
• Generous free tierThe Open Source plan is free and includes AI SQL generation, support for 20+ data sources, unlimited questions and dashboards, and unlimited users. It also includes both internal and embedded analytics users at no cost.
• Enterprise-grade security and complianceMetabase is SOC1, SOC2, GDPR, and CCPA compliant, and offers features like data segregation, permissions, and CSV upload. It is designed to keep your data secure and compliant as you grow from pre-seed to post-IPO.

• Pricing details for paid plansThe Starter plan is $100/month (or $90/month billed yearly) and includes the first 5 users, with additional users at $6/user/month (or $65/user/year). However, the full list of features for paid plans is not detailed on the pricing page, so you should compare plans directly.
• AI features availabilityWhile the homepage states 'AI on all plans,' the pricing page only explicitly mentions 'Ask questions with AI SQL generation' for the Open Source and Starter plans. It does not specify whether higher-tier plans include additional AI capabilities, so verify the feature list for your chosen plan.
• Embedded analytics pricingThe pricing page has a separate section for Embedded Analytics, but the scraped content does not include its pricing details. You will need to visit the site or contact sales for specific embedded analytics pricing.
• User counting for embedsBoth internal team members and users of embeds accessed through your product count as users. This is important for cost estimation, especially if you have a large external user base.

Self-Service Analytics

Metabase lets teams explore data on their own with a visual query builder, interactive dashboards, and plain-English AI queries. Teams can filter, break out, and drill into charts to find the 'why' behind metrics, guided by a curated semantic layer of canonical tables and metrics in Data Studio.

Embedded Analytics

Metabase provides an embedding SDK for React (e.g., MetabaseProvider and InteractiveQuestion) to integrate dashboards, visualizations, and self-serve reporting directly into SaaS apps. It supports multi-tenant data segregation, white-labeling, dynamic styling, and granular permissions, reducing engineering overhead for in-product analytics.

SQL & Advanced Querying

For power users, Metabase includes a SQL editor for raw queries, joins, and custom logic. It also offers drill-through, result and model caching, and the ability to test and deploy safely across staging environments. Data teams can export configs, models, and dashboards to scale across instances.

AI-Powered Data Exploration

Metabase AI lets users ask questions in plain English and get answers guided by the semantic layer. It includes AI usage auditing and controls, and supports connecting to an MCP server, CLI, APIs, and Slack. Users can inspect the query behind every answer for verification.

Define the exact aI Research Tools workflow Metabase should support.

Compare it with closely related AI tools in the same category before committing.

Set review rules for accuracy, privacy, brand voice, compliance, and final approval.

Connect useful outputs to the wider stack instead of leaving them inside the AI tool.