Logo
Backends marketplace

Metabase vs Preset

Detailed comparison between Metabase and Preset: Focus: Metabase is a business intelligence and analytics tool that allows users to query and visualize data from a wide range of sources, while Preset is a data exploration and analytics tool focused on data exploration, visualization, and dashboarding. Deployment: Both Metabase and Preset are designed to be deployed to the cloud or on-premises. They provide support for popular cloud providers such as AWS, GCP, and Azure, as well as support for self-hosting. Ease of use: Both Metabase and Preset have intuitive user interfaces and are designed to be easy to use, with a range of pre-built dashboards, charts, and reports. However, Metabase has a more mature and refined interface, while Preset is still in its early stages of development. Data sources: Metabase supports a wide range of data sources, including SQL databases, NoSQL databases, and cloud-based data services. Preset supports many of the same data sources as Metabase, but also provides support for streaming data sources, such as Apache Kafka and Amazon Kinesis. Customization: Both Metabase and Preset allow for customization of dashboards, charts, and reports, but Metabase has a more extensive set of customization options, including the ability to add custom SQL queries and custom visualizations. Preset, on the other hand, provides a simpler and more streamlined customization experience. Community: Both Metabase and Preset have active development communities and are regularly updated with new features and improvements. However, Metabase has a larger community with a more established user base and a wider range of community-contributed plugins and integrations. In summary, Metabase and Preset are both open-source tools for data exploration, visualization, and dashboarding, but they differ in their focus, ease of use, data sources, customization, and community. Choosing between the two depends on the specific needs of the project and the user's preferences and expertise. If the project requires a mature and refined business intelligence tool with a wide range of customization options and a large user community, Metabase would be a good choice. On the other hand, if the project requires a more streamlined and simple data exploration and visualization tool with support for streaming data sources, Preset would be a better fit.