Geckoboard vs Apache Superset
Geckoboard and Apache Superset are both BI & dashboards tools. Here is how they compare on pricing, audience, platforms and community votes.
TV dashboards for teams
Open-source data exploration at scale
| Pricing | Paid · $79 | Open source |
| Built for | Small businesses | Developers, Enterprise |
| Platforms | web | web |
| Country | GB · 2010 | US · 2017 |
| Community votes | 0 | 0 |
| Rating | — | — |
Geckoboard
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.
Apache Superset
Apache Superset is an open-source data exploration and visualization platform, originally created at Airbnb by Maxime Beauchemin in 2015 and graduated to a top-level project of the Apache Software Foundation in 2021. It is used by data teams at many large companies as a self-hosted alternative to commercial business intelligence tools, and Preset, a company founded by Superset's creator, offers it as a managed cloud service.
Superset connects to almost any SQL-speaking database through SQLAlchemy, including PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, ClickHouse, Druid, Trino and Databricks. Analysts can write queries in SQL Lab, a browser-based SQL IDE, or use the no-code chart builder with more than 40 visualization types, from tables and time series to maps and Sankey diagrams. Charts are combined into interactive dashboards with cross-filters and native filters. A lightweight semantic layer defines datasets, metrics and calculated columns, and role-based access control, row-level security, caching, alerts and reports support production use. The software itself is free under the Apache 2.0 license; costs come from infrastructure and engineering time, or from Preset's paid plans.
Superset fits organizations with data engineers who want scalable, vendor-neutral BI without per-user licenses. Setup, upgrades and security configuration require technical skills, and the interface is less approachable for business users. Metabase is easier for non-technical teams, Looker and Power BI offer stronger governed modeling with commercial support.