Metabase is an open-source analytics and business intelligence application that enables users to create interactive dashboards and visualizations without requiring SQL expertise. It connects directly to over 20 data sources, allowing teams to explore and analyze data independently, thereby reducing reliance on technical staff for reporting.
Funding
$30M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle to provide broad access to data insights because traditional business intelligence (BI) tools require specialized SQL knowledge, creating bottlenecks and limiting self-service analytics capabilities for non-technical users. This dependence on technical staff for reporting hinders timely data exploration and informed decision-making across the organization.
Solution
Metabase is an open-source analytics platform that empowers users to explore and visualize data without needing SQL expertise. Its intuitive visual query builder allows anyone to create interactive dashboards, perform drill-downs, and define calculated columns. By connecting directly to over 20 data sources, Metabase enables self-service analytics, freeing data from SQL constraints and promoting data-driven decision-making across all teams. The platform also offers features for creating metadata-rich semantic models, ensuring consistent querying and avoiding data repetition.
Target Audience
Metabase targets data-driven organizations seeking to empower non-technical users with self-service analytics capabilities, including business analysts, managers, and executives who need to explore data and create reports without relying on technical staff.
Features
- Visual Query Builder: Enables users to query data using a drag-and-drop interface, eliminating the need for SQL.
- Interactive Dashboards: Facilitates the creation and sharing of dashboards with over 15 visualization types.
- Semantic Data Models: Allows the creation of metadata-rich models for consistent and self-service querying.
- Broad Data Source Connectivity: Connects to over 20 data sources, including production databases and data warehouses, without requiring data extraction.
- Single Sign-On (SSO) Integration: Integrates with SAML, LDAP, JWT, and Google for secure user authentication.
- Permission Management: Controls access to data, content, and features through group-based permissions.
- Data Sandboxing: Segments data access to enable multi-tenant analytics with row-level security.
- Result and Model Caching: Improves performance by caching query results and data models.