Apache superset vs metabase12/30/2023 ![]() Overall, Chartbrew provides an easy and flexible way for users to create and share their data insights, making it a valuable tool for data-driven decision-making.Īpache Superset is an open-source data visualization and business intelligence tool that is enterprise-ready and highly scalable. Its API also allows users to connect to custom data sources and use them in their visualizations. In terms of data sources, Chartbrew currently supports CSV and JSON files as well as integration with popular databases and cloud services such as Google Sheets, Amazon S3, and MySQL. It also offers a variety of visualizations and chart types, including bar charts, line charts, scatter plots, and pie charts. In terms of dashboard functionality, Chartbrew supports a wide range of features such as customizable layout, data filtering, and collaborative editing. With over 900 Github stars today (December 2022), Chartbrew has quickly become a popular choice among data analysts and business professionals who want to easily explore and present their data.Ĭhartbrew is released under the MIT License, which means it can be freely used and modified by anyone. ![]() It allows users to create and share beautiful and interactive dashboards and charts without the need for coding or technical skills. Overall, the integration between Lightdash and dbt core allows data teams to efficiently and effectively explore and visualize their data, improving the quality of their analysis and decision-making.Ĭhartbrew is a free and open-source data visualization tool created by Razvan Ilin. This helps users better understand their data and make more informed decisions when creating visualizations. It allows users to easily create and customize visualizations, and quickly drill down into the details of their data.Īdditionally, Lightdash integrates with dbt's schema navigation and documentation features, allowing users to easily see the relationships between tables and columns in their data model. Lightdash integrates with dbt core by providing a user-friendly interface for exploring and visualizing the data that has been transformed and cleaned using dbt. ![]() It allows users to write and manage their SQL code in a modular and organized way, making it easy to reuse and maintain. Lightdash is a data visualization and exploration tool that is designed to work seamlessly with dbt (data build tool) core.ĭbt core is an open-source tool that helps data teams transform, clean, and test their data.
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