Geckoboard vs Lightdash

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.

Lightdash is an open-source business intelligence tool built on top of dbt, made by a London-based startup. Instead of defining metrics in a separate BI layer, analysts declare dimensions, metrics and joins in the same dbt YAML files that describe their models, so business logic is version-controlled, reviewed in pull requests and reused everywhere.

Business users then explore those governed metrics through a point-and-click interface, build charts and dashboards, and schedule deliveries to Slack, email or Google Sheets. Lightdash also offers an AI analyst that answers natural language questions using the semantic layer, a SQL runner, spaces with permissions, dashboards-as-code and embedding for customer-facing analytics. The core is open source and can be self-hosted for free, while Lightdash Cloud adds managed hosting with unlimited viewers, and Enterprise adds SSO, embedding, advanced permissions and support.

It is a strong fit for data teams that already run dbt and want a semantic-layer BI without Looker's cost or a proprietary modeling language. It requires dbt, so teams without it are better served by Metabase or Power BI. Visualization options are less rich than Tableau, and cloud pricing starts at a level aimed at companies rather than individuals. Looker is the closest conceptual match, while Metabase and Superset are open-source alternatives that work directly on database tables.