Connect Excel to your governed data. Your dashboards' numbers land in the grid as live formulas that refresh on demand without manual exports.
Your team’s agentic BI assistant – it builds the trusted data model first, then the dashboards on top, all in plain language. Nash AI is in public preview now.
Did you know you can add Snowflake GenAI Insight Summaries powered by Snowflake (and table/view reporting) to Slack & Teams, directly using Snowflake?
Snowflake’s powerful platform is architecturally different from almost every traditional database system and cloud data warehouse. Snowflake has completely separate compute and storage, and both tiers of the platform are near-instantly elastic.
Looking for Omni Analytics competitors in 2026? Compare the 8 best Omni Analytics alternatives including Astrato, Looker, Sigma, and Hex for modern BI.
Looking for ThoughtSpot competitors in 2026? Compare the 9 best ThoughtSpot alternatives including Astrato, Power BI, Tableau, Sigma, Hex, and more.
Analytics accuracy is binary — a number is right or wrong. Why AI can't verify its own output, and what a verifiable foundation requires.
AI on your data is only as trustworthy as its definitions. Why the semantic layer is the foundation to get right before AI, not after.
Databricks AI/BI now embeds dashboards externally. So when do you still need a third-party platform? A decision guide for data platform teams.
Compare embedded analytics platforms for BigQuery — Astrato, Sigma, Looker, Looker Studio, Power BI, Metabase. Built for product teams in Slack.
Self-service BI keeps breaking. Guided self-service fixes it: the data team designs the path, business users move freely within it. Here's how.
Every BI vendor claims self-service in 2026. A four-level spectrum, five evaluation questions, and an honest comparison of the platforms that compete on Snowflake.
One governed model, many customers. How a semantic layer powers multi-tenant embedded analytics with controlled per-tenant visibility.
Catch duplicate metrics and definition drift before they erode trust. A practical checklist for auditing and governing your semantic layer.
Model your metrics once and run them on Snowflake, BigQuery, or Databricks. Why a warehouse-agnostic semantic layer ends platform lock-in.
How to define ARR, churn, and active customers in a semantic layer — a reusable template so every metric means one thing everywhere.
Warehouse-native vs universal vs BI-tool semantic layers: how each works, what it is best for, and how to choose the right one for your stack.
A practical guide to building a semantic layer: connect your warehouse, model joins, define metrics, secure and version it. No multi-year project.
Dashboards read data; data apps write it back. See why safe write-back needs a governed semantic layer — with Ceres Pharma proof.
Query 108 million rows of machine telemetry live on ClickHouse — no extract, no sampling, no pre-aggregation. Filter, compare, and spot anomalies on raw time-series data.
Let planners run their own demand forecasts: enter a category, measure and horizon, and a Prophet model on Snowpark returns the forecast — in the warehouse, no notebook, no data scientist.
.avif)
.avif)
