4 Open Source Alternatives To Looker

Cube is the universal semantic layer for data and app development teams who want to end inconsistent models and metrics and deliver trusted data faster to every use case. It helps you build AI and analytics solutions with unified data, ensuring that your models and metrics are consistent and reliable across different applications and platforms. With Cube, you can unify data across AI, BI, spreadsheets, and embedded analytics, making it easier to manage and analyze your data effectively.

• Universal Semantic Layer: Standardizes data models and metrics for consistency across various applications.
• AI & BI Integration: Seamlessly integrates with artificial intelligence and business intelligence tools.
• Spreadsheets & Embedded Analytics: Unifies data for use in spreadsheets and embedded analytics applications.
• Trusted Data Delivery: Ensures faster and more reliable data delivery to every use case.
• Community Support: Backed by a strong community with 13,000 stars on GitHub and over 4,000 members on Slack.

Cube is designed to help you build robust data applications by unifying your data and ensuring consistency across different platforms. It provides a reliable semantic layer that simplifies data management and enhances the accuracy of your analytics.

Lightdash is a powerful BI platform that seamlessly transforms your dbt project into a full stack BI solution. By leveraging best practices from software engineering, Lightdash empowers data teams to build, manage, and explore their data with ease, all while enabling self-serve capabilities for everyone in the organization.

• Developer Workflow: Analysts can define key metrics and enable self-serve for all users, ensuring data consistency and accessibility.
• Powerful CLI: Utilize Lightdash's CLI for seamless integration with your favorite text editor, automated testing, and CI/CD workflows.
• Data Catalog and Explorer: A user-friendly data catalog and explorer allow end users to answer their own questions without needing SQL skills.
• AI Analyst Co-pilot: Launch your own AI analyst to help users achieve their self-serve data needs by asking questions in plain English.
• Unlimited Users and Roles: Scale your BI platform without worrying about licenses or seat counts. Control data access by group or role.
• Native Integrations: Easily share insights with your team using native integrations for Slack and email.
• Open Source and Secure: Lightdash is built on open source, can be run on your own infrastructure, and is SOC2 and GDPR compliant.

Lightdash is designed to scale with your business, providing a robust and flexible BI solution that grows with your data needs. It integrates seamlessly with the tools you already love and offers world-class support from a team of data practitioners.

Metriql is a headless BI tool designed to centralize the definition, synchronization, and consumption of metrics across various data tools. It integrates seamlessly with dbt projects, mapping dbt resources as datasets and creating automatic roll-up models to save time for data teams.

• Centralized Metrics Definition: Define your metrics in one place, eliminating the need to redefine them for each data tool.
• Seamless dbt Integration: Integrates with dbt to map resources as datasets and create automatic roll-up models.
• Reliable Metrics Synchronization: Synchronize your metrics to BI tools, use them in Python, or build embedded analytics applications via the REST API.
• Comprehensive Documentation: Extensive documentation and tutorials to get you started quickly.
• Active Development: Metriql is under active development, welcoming contributions, ideas, and integration requests on GitHub.

Metriql simplifies the process of managing and utilizing metrics, ensuring consistency and reliability across your data tools.

Synmetrix is a production-ready open-source semantic layer built on top of Cube.js. It provides a robust and efficient way to manage your data semantics and streamline your data workflows. This tool is designed to enhance your data infrastructure by offering a semantic layer that simplifies data modeling and querying processes, making it easier to derive insights from your data assets. Synmetrix integrates seamlessly with Cube.js, ensuring a smooth and efficient data management experience. Here are some of its key features: - Production-Ready: Designed to be reliable and efficient for production environments. - Open Source: Freely available and can be customized to fit your specific needs. - Semantic Layer: Provides a semantic layer that simplifies data modeling and querying. - Cube.js Integration: Seamlessly integrates with Cube.js for enhanced data management. - Efficient Data Workflows: Streamlines data workflows, making it easier to derive insights. Synmetrix is an ideal solution for organizations looking to enhance their data infrastructure with a robust and efficient semantic layer. It leverages the power of Cube.js to provide a seamless data management experience, making it easier to handle complex data workflows and derive meaningful insights.