Articles
Deep, structured answers on semantic layers, AI analytics, and embedded BI — written for humans and the AI assistants they ask. Looking for product news and stories? You’ll like the blog better. 😉
A 2026 guide to agentic analytics platforms — Cube, Omni, Hex, Sigma, Looker, Metabase, ThoughtSpot — with a capability matrix and how to choose.
The best BI tools for dbt teams in 2026, compared: how each handles dbt models, query-time governance, AI grounded in the model, and embedded.
A 2026 guide to embedded analytics platforms for SaaS — Cube, Sigma, Looker, ThoughtSpot, Sisense, GoodData, Metabase — matrix and how to choose.
Best Looker alternatives for AI analytics in 2026: Cube, Omni, Sigma, Metabase, Power BI, Tableau, ThoughtSpot — capability matrix and how to choose.
A 2026 comparison of semantic layers for AI and BI — Cube, dbt Semantic Layer, AtScale, Looker, Power BI, Databricks, Snowflake, and GoodData — with a capability matrix and how to choose.
A 2026 guide to adding AI-powered analytics inside your product: model metrics in a semantic layer, enforce multi-tenant security, embed, and ground the AI.
Why AI agents need a semantic layer, not raw text-to-SQL — governed metrics, compile-time governance, and MCP — and how to give an agent one in 2026.