11 Open Source Alternatives to Looker

Grafana connects to data sources such as Prometheus, Loki, Elasticsearch, InfluxDB, Postgres, and many more, allowing users to build interactive dashboards and detailed visualizations. The platform supports adaptive telemetry, AI/ML-powered root cause analysis, and streamlined incident response, making it a comprehensive solution for modern observability and monitoring needs.

OpenBB consolidates various data sources, both structured and unstructured, into one intuitive interface. The platform features powerful AI Copilot capabilities that automate workflows and generate actionable insights. With tools for charting, reporting, and secure data collaboration—including an Excel add-in—OpenBB adapts to the evolving needs of financial research and investment analysis.

Apache Superset enables users to transform raw data into interactive visualizations with over 40 pre-installed chart types. It offers a drag-and-drop interface alongside a powerful SQL IDE, making it easy to explore data from modern SQL-based databases. The platform’s lightweight, scalable architecture supports rapid development of diverse dashboards, along with features like data caching, semantic layers, and interactive filters to drive insightful analysis.

Metabase simplifies complex data analysis with an intuitive visual query builder, interactive dashboards, and a rich set of data modeling tools. Connect effortlessly to over 20 data sources, deploy via Docker, and choose from free open source or scalable hosted options. Its integrated suite of features supports self-service analytics and in-app reporting without compromising on security or performance.

Cube bridges your data sources and analytics tools with a single semantic layer, ensuring that every user works with the same metrics and business logic. It provides features like fine-grained access control, efficient caching, and rich API support (including AI, REST, SQL, MDX, and DAX) for seamless integration and high-performance data experiences across various platforms.

Evidence empowers users to build sophisticated data apps with a code-driven workflow that combines SQL, markdown, and custom visualization components. It pre-builds queries and pages for instant performance and offers templated pages to dynamically generate thousands of data-driven reports. With seamless integration into existing data stacks and version control support via Git, Evidence is tailored for rapid iteration and collaboration.

Built on software engineering best practices, Lightdash brings a version-controlled semantic layer in git, seamless promotion from staging to production, and integrated CI/CD automation to accelerate your BI workflows. Its no-code data catalog and intuitive report builder enable end users to explore data effortlessly. Lightdash also features AI-powered analysts, unlimited users and roles, and enterprise-grade security, making it a scalable solution that integrates with your favorite tools.

Chartbrew lets you integrate multiple data sources and build custom reports using an intuitive drag-and-drop interface. With powerful features like AI-powered SQL and MongoDB query assistants, real-time data alerts via Slack and email, and customizable dashboard templates, the platform caters to both technical and non-technical users. It makes setting up interactive reports and client-specific dashboards simple and efficient.

Redash combines a powerful online SQL editor with dynamic dashboard capabilities to enable efficient data analysis and sharing. It supports SQL, NoSQL, Big Data, and API data sources, allowing users to query diverse datasets effortlessly. Features like schema browsing, query snippets, drag & drop visualization, and scheduled refreshes provide a streamlined experience. Its open-source foundation also encourages customization and community contributions.

MLCraft centralizes data modeling and metric definitions into a unified semantic layer, bridging your raw data sources with business applications. Built on Cube Data Models, it offers efficient SQL API integration, caching, pre-aggregations, and real-time alerts, ensuring secure, consistent, and high-performance data delivery. The tool is ideal for enterprises looking to enhance governance and accelerate insights.

MetriQL integrates with dbt, translating dbt resources into datasets and automatically generating roll-up models to save time. It allows you to define metrics in one central location and synchronize them to BI tools or embed them in applications via its REST API. This robust solution optimizes query performance and offers a flexible approach for companies looking to simplify metrics management.