dbt V2 vs dbt Core | What's new in dbt V2?!

dbt V2 is here, so what's new in dbt V2?! It's the biggest change to dbt Core since v1.0. In this video we compare dbt V2 vs dbt-core 1.x and walk through what's new: dbt State a Rust-based engine SQL comprehension with column-level lineage built-in linting a new dbt Docs If you're an analytics engineer or data engineer running dbt Core today, this covers what changes, what stays open source, and whether you should upgrade yet. What dbt V2 helps you solve: → Slow dbt parse and compile times holding up local development and CI on large projects → Not knowing which downstream models and dashboards break when you change a column, now answered with column-level lineage → Inconsistent SQL style across the team, enforced with dbt lint (SQLFluff-compatible) instead of a separate tool → dbt Docs that struggle to load on projects with thousands of models → Wasted warehouse spend rebuilding unchanged models, reduced with state aware orchestration Chapters: 00:00 Intro 00:30 dbt State 02:22 Rust engine and faster parsing 03:38 SQL comprehension and column-level lineage 05:07 dbt lint 06:24 New dbt Docs 08:51 Wrap up Orchestra is the AI-native data orchestration platform. Run dbt Core alongside your ingestion, transformation, and AI workloads in one place, with state-aware orchestration so only what's changed gets rebuilt. Whether you're on dbt Core 1.x, testing dbt V2, or comparing dbt Core vs dbt Cloud, Orchestra gives you end-to-end pipelines, lineage, and monitoring without stitching tools together. Learn more about Orchestra: https://getorchestra.io Sign up for free: https://app.getorchestra.io Read the docs: https://docs.getorchestra.io #dbt #dbtupdate #dataengineering #datatransformation #analyticsengineering #analyticstools #dataplatform #sql #orchestration #orchestra