“Data isn’t just queried anymore—it’s built, orchestrated, and spoken to.”
That was the vibe at the recent Snowflake event I attended.
Yes, the GenAI and performance improvements were awesome.
But something bigger is happening: Snowflake is becoming a true developer-first data platform.
This post highlights five major updates that bring engineering workflows, open-source comfort, and intelligent automation into the heart of Snowflake.
🧱 Workspaces in Snowflake: Where Dev Meets Data
With the introduction of Workspaces, Snowflake now offers isolated, Git-integrated environments where you can:
- Build and test code safely
- Use project-specific packages
- Deploy from version-controlled repositories
It’s like having your own VS Code in the cloud—with all the power of Snowflake behind it. No more breaking production. No more hacky dev setups. Just clean, isolated, versioned workspaces.
https://docs.snowflake.com/en/release-notes/2025/other/2025-06-03-workspaces
🔁 SF OpenFlow via Snowsight: Drag, Drop, Automate
Orchestration just got a UI.
OpenFlow brings visual pipeline building to Snowsight—meaning you can now:
- Chain together SQL jobs, UDFs, and ML tasks
- Schedule and monitor workflows
- Automate complex logic without code
It’s like Airflow, but built natively into Snowflake—and way more intuitive for non-engineers. So you can drag and drop modules to build end to end pipelines.
https://www.snowflake.com/en/product/features/openflow/
⚙️ Run dbt Projects Natively in Snowflake
No more switching platforms or setting up dbt runners.
With native dbt support, you can:
- Run dbt-core projects directly in Snowflake
- Use Git-based workflows
- Monitor runs, test models, and promote environments seamlessly
It’s great news for data teams using dbt—and even better news for platform reliability and governance.
https://docs.snowflake.com/en/user-guide/data-engineering/dbt-projects-on-snowflake
🤖 Snowflake Intelligence: ChatGPT Meets Your Data Stack
Natural language querying is here—and it’s smarter than you’d expect.
With Snowflake Intelligence, you can:
- Ask questions like “Why did revenue drop in Q2?”
- Auto-generate SQL, visual insights, and dashboards
- Build data agents that work like assistants for business teams
This is ChatGPT with context—a layer that understands your data, your business logic, and your analytics stack.
🧑💻 SF Postgres Runtime: Familiarity Meets Firepower
Snowflake now supports PostgreSQL workloads natively—perfect for:
- Migrating open-source apps
- Running Postgres queries with Snowflake’s scale
- Onboarding new developers without retraining
It’s Postgres, but on steroids—with the power of Snowflake compute, elasticity, and security.
🔚 Snowflake’s Next Era: Not Just a Warehouse
From Git-based workspaces to dbt-native execution and intelligent agents, Snowflake is officially a full-spectrum data platform.
This is not just evolution—it’s a whole new mode of building.
And if you’re a data developer, engineer, or architect?
You’re going to feel right at home.
BrontoWise 
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