Astrato Blog | Insights on Modern BI, AI, and Data Innovation

Your semantic layer just became your AI governance layer

Version control, validation, lineage and MCP in one governed semantic layer — so the numbers your team builds with AI agree with the numbers on your dashboards.

Introducing version history in the Astrato Semantic Layer Editor

Compare any two versions of your semantic model, restore the one definition that went wrong, and publish when you mean to. Version history is live in Astrato.

Snowflake Cortex LLM Generated Insights + Tables into Slack & Teams

Did you know you can add Snowflake GenAI Insight Summaries powered by Snowflake (and table/view reporting) to Slack & Teams, directly using Snowflake?

11 Best Practices to Optimize 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.

8 Best Omni Analytics Competitors and Alternatives for 2026

Looking for Omni Analytics competitors in 2026? Compare the 8 best Omni Analytics alternatives including Astrato, Looker, Sigma, and Hex for modern BI.

9 Best ThoughtSpot Competitors and Alternatives for 2026

Looking for ThoughtSpot competitors in 2026? Compare the 9 best ThoughtSpot alternatives including Astrato, Power BI, Tableau, Sigma, Hex, and more.

Dashboards or Apps? When a Weekly Decision Needs an App

When does a dashboard stop being enough? Learn when recurring business decisions need an app built around scenarios, actions, and outcomes.

Why Two AI Tools Give You Two Revenue Numbers

Why can two AI tools query the same warehouse and return different revenue numbers? See how business definitions turn raw data into answers you can trust.

Embedded BI for Databricks: AI/BI vs. Third-Party in 2026

Databricks AI/BI now embeds dashboards externally. So when do you still need a third-party platform? A decision guide for data platform teams.

Embedded Analytics for BigQuery: Best BI Platforms 2026

Compare embedded analytics platforms for BigQuery — Astrato, Sigma, Looker, Looker Studio, Power BI, Metabase. Built for product teams in Slack.

Guided Self-Service Analytics: A Practical Guide

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.

Self-Service BI on Snowflake: Guide for Non-Technical Teams

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.

Embedded BI for Databricks: AI/BI vs. Third-Party in 2026

Databricks AI/BI now embeds dashboards externally. So when do you still need a third-party platform? A decision guide for data platform teams.

When Databricks Dashboards Aren’t Enough: AI/BI vs. Data Apps

Databricks AI/BI is a strong dashboard layer for the lakehouse. But there are operational use cases that need data apps, not dashboards.

Replacing Legacy On-Prem BI with AI-Native Analytics

A compliance-heavy buyer’s guide for replacing legacy on-prem BI with AI-native analytics — five architectural decisions, vendor map, and a security checklist.

AI Chat Analytics with Row-Level Security

Conversational BI has four security failure modes most vendors don’t separate. An 8-vendor map, and a 7-test pilot checklist for Snowflake and BigQuery teams.

Controlling Snowflake Spend with Your BI Tool: Four-Lever Audit

Snowflake costs scale with how your BI tool queries the warehouse. Compare the main factors on the top BI platforms and audit on your own deployment.

Cloud-Native BI Platforms for Snowflake & BigQuery: 9 Criteria

How to evaluate cloud-native BI platforms for Snowflake and BigQuery. A 9-criteria buyer’s framework with tests, vendor map, and a fillable scoring template.

Product Analytics on Top of Snowflake: Best Platforms in 2026

Explore tools that treat your warehouse as the event source. A four-category vendor map, and a POC checklist for warehouse-native PA on Snowflake.

Real-Time Analytics on Snowflake: Which BI Platform to Pick?

A four-link mental model for thinking about freshness on Snowflake, plus a vendor-by-vendor map of which BI tools surface the warehouse’s actual freshness and which add their own staleness.

BI Platforms with Native Row-Level Security on Snowflake

Three patterns of “native RLS” for Snowflake, mapped vendor by vendor — plus a 7-test POC checklist your data team can run in an afternoon.

Self-Service BI on Snowflake: Guide for Non-Technical Teams

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.

Data Products on Snowflake: A Reference Architecture for SaaS Teams

A technical guide to building data products on Snowflake — multi-tenancy, semantic layers, embedding, AI, writeback, and the architectural decisions that matter.