Domo is a cloud BI and data platform priced on consumption credits rather than user seats. Pages here cover moving dashboards and data pipelines to self-hosted Apache Superset or Metabase.
Moving Domo cards and pages to Apache Superset: deciding where Domo-stored datasets will live, rebuilding Magic ETL dataflows in a pipeline tool, recreating cards as charts and dashboards, and Beast Mode calculations as SQL or dataset metrics.
For Domo customers whose main use is dashboards for business teams: moving datasets into a warehouse Metabase can query, rebuilding cards as questions and dashboards, mapping PDP-style row rules to Metabase permissions by plan, and cutover planning.
Comparing Domo's all-in-one cloud platform with self-hosted Metabase: what Domo bundles (connectors, storage, ETL, apps) that Metabase leaves to other tools, credit consumption against infrastructure cost, self-service features and who operates each.
For data teams with their own warehouse: Domo against Apache Superset querying it directly, SQL Lab and chart types, the separate pipeline tool Superset needs, embedding, and the effect on cost when Domo credits for ingestion and storage disappear.
Cost of ownership by component: Domo credits for ingestion, dataflows, row storage and external users against Apache Superset or Metabase with a warehouse and pipeline tool on your own infrastructure, plus migration, support and staff time.
Domo charges credits per day for each external end user account with its own instance. This page compares that with embedding Metabase or Apache Superset dashboards for customers and partners, where cost follows infrastructure, and what isolation the host app must enforce.
Tell us what you're working on, whether it's a deployment, an audit, a security test or a cyber range. You'll speak with an engineer who can help you scope it.