ThoughtSpot is a search and AI-driven analytics product sold as a per-user or credit-based cloud service and as self-managed ThoughtSpot Software. Pages here cover moving to self-hosted Apache Superset or Metabase.
Moving ThoughtSpot Liveboards and Answers to Apache Superset: exporting Models and Liveboards as TML to document joins, formulas and columns, recreating them as Superset datasets and charts, and setting expectations for users who relied on search-style questions.
For business users who ask ad hoc questions in ThoughtSpot: rebuilding Models as Metabase models and metrics, recreating Liveboards as dashboards, using the query builder for self-service questions, and the Metabase plan needed for SSO and data permissions.
Comparing ThoughtSpot's search and AI-driven analytics with self-hosted Apache Superset: how users ask questions, the semantic model (TML Models against Superset datasets and metrics), embedding, pricing per user or credit against infrastructure, and operating effort.
For teams whose ThoughtSpot use is self-service exploration by non-technical users: Metabase's query builder and models against ThoughtSpot search, editions and what is paid, embedding options, and running Metabase yourself on PostgreSQL.
Cost of ownership by component: ThoughtSpot Essentials and Pro per-user prices, credit-based usage and Enterprise quotes, against Metabase or Apache Superset on your own infrastructure with application database, support, upgrades and migration effort.
Using TML exports before leaving: which objects export (Models, Views, SQL views, Tables, Answers, Liveboards, alerts), what the files describe, what still has to be rebuilt by hand in another tool, and how to keep the export as the specification for the migration.
For organizations already running ThoughtSpot Software in their own datacenter: what staying on the self-managed release line involves, against moving to Apache Superset or Metabase on the same infrastructure, with licensing, upgrade work and feature fit compared.
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