Geckoboard vs Metabase

Geckoboard is a London-based company that makes live KPI dashboards designed to be shown on office TV screens, shared in Slack or sent as snapshots. Its focus is visibility rather than analysis: a support or sales team should be able to glance at a screen and know how today is going.

Dashboards are built with a simple drag-and-drop editor that connects to around 80 data sources, including Zendesk, HubSpot, Salesforce, Intercom, Google Analytics, Google Sheets, Excel and SQL databases, plus a Datasets API for custom data. Widgets show numbers, goals, leaderboards, and line and bar charts with status colors, and a dedicated TV mode handles rotation, layout and readability at a distance. Scheduled Slack and email sharing pushes the same metrics to remote staff. Pricing is a monthly subscription by number of dashboards and features, starting with an Essentials plan for two dashboards; there is a 14-day trial but no free plan.

Geckoboard fits customer support, sales and operations teams that want shared, always-on metrics with minimal setup. It is not a BI tool: there is little room for ad hoc exploration, joins or deep drill-downs, and the cost per dashboard is high compared with free options. Databox connects more sources and adds goal tracking for agencies, Klipfolio is more flexible but harder to build in, and Looker Studio or Grafana are free if you can handle the setup yourself.

Metabase is the most widely used open-source business intelligence tool, built by a San Francisco-based company founded in 2015. Its core job is to let everyone in a company ask questions of data: non-technical users build queries with a point-and-click builder, analysts write SQL, and teams share the results as dashboards, alerts and scheduled reports.

Metabase connects to Postgres, MySQL, SQL Server, BigQuery, Snowflake, Redshift, Databricks and many other databases. Dashboards support filters, drill-through and cross-filtering, and subscriptions deliver them by email or Slack. Models, metrics and segments create a light semantic layer for governed self-service. Embedding ranges from public links and static embeds to an interactive embedding SDK for React, which lets SaaS products offer customer-facing analytics. The open-source edition is free to self-host under the AGPL license; Metabase Cloud (Starter) adds hosting and upgrades, while Pro and Enterprise add SSO, row and column-level permissions, white labeling, advanced embedding and support. Metabot brings natural language questions into the product.

Metabase fits startups and mid-size companies that want useful dashboards quickly and cheaply, and developers embedding analytics. Visualizations are simpler than Tableau or Power BI, query speed depends on your database, and modeling is lighter than Looker or Lightdash. Apache Superset is the other popular open-source option, with more chart types but a steeper learning curve.