Events /

Watch On-Demand: Instant Insights Unlocked with Cube & Metabase

Self-Serve Analytics Made Easy with Cube's Semantic Layer Sync

  • Cube
  • Metabase

Key Takeaways from Cube and Metabase Webinar

Five Key Takeaways from the Cube and Metabase Webinar

In an insightful meeting of minds, Brian and Tony of Cube and Luis of Metabase came together to shed light on leveraging Cube and Metabase to yield vital business insights. These are the five principal takeaways from the webinar:

Semantic Layer Benefits

The semantic layer is integral to the data structure, specifically with Cube, which serves as a universal semantic layer product. The key benefits highlighted during the discussions include consistent data experiences, data consistency, performance, flexibility, and security. A unique feature in Cube, Semantic Layer Sync, maintains synchronization of BI tools with the data model, enhancing consistency and reducing manual efforts.

Metabase Integration

Fusing Metabase, a BI utility, with Cube can bring forth efficient data comprehension. Metabase, an open-source avenue for everyone to ask questions and learn from data, can be deployed on various platforms such as a personal laptop, servers, or through cloud hosts. In combination with Cube, it provides an easy setup of a data model synced with Metabase.

Feature Walkthrough

Luis presented a walkthrough on using Metabase, shedding light on building full automation through API calls, dashboard creation and sharing, and embedding options. Metabase allows users to share dashboards via email or alerts. It also provides the option to embed the dashboard or certain questions externally. Metabase offers two types of embedding: simple sharing and full app embedding or interactive sharing, depending on user requirements.

Metabase and Cube Integration

The webinar also put forth valuable insight into integrating Cube and Metabase. The integration via the SQL API allows users to connect to Cube like a Postgres database. It is suggested that Cube be used as a semantic layer when migrating from DBT metrics due to the performance gains it offers through caching and pre-aggregation.

Service and Support

Luis highlighted Metabase's various support tiers, from no free support to varying premium support on paid tiers. Users can reach out to the sales team for support-related inquiries. In addition, both Cube and Metabase extend their willingness to arrange custom demonstrations to discuss specific use cases.

Speaking on sharing finer details, the speakers also divulged numerous points. Metabase has export options to different formats like CSV, JSON, Excel, or PNG, and even allows the export of an entire dashboard to PDF. The discussion on billing, particularly for full app embedding in Metabase, clarified that each tenant user would be a Metabase user for billing purposes.

The webinar also cleared up doubts through speakers' Q&A, addressing topics from integration roadmap, row-level security, supported databases, managing mono repo support, and contacting support for issues.

Drawing a conclusion, the webinar served as a thorough guide on the features, capabilities, and integration possibilities of Cube and Metabase. It furthered understanding for users across diverse applications, charting a course for better data-driven decision-making.