AI-Powered CI/CD
for Snowflake
Free tool for Snowflake engineers
Build, test, deploy... without the grind.
Finally, CI/CD that gives you your time back. With AI-powered CI/CD from DataOps.live, your pipelines write, test, and deploy themselves without the manual headaches.
Our Dynamic Delivery app brings DevOps discipline to Snowflake data engineering. It removes the repetitive work, so you can focus on what actually moves the business forward.
Why Snowflake Engineers Love It
Code Generation by AI
Automatically creates transformation and deployment code. No more boilerplate scripting.
Automated Testing & Quality Gates
Validate every change before it hits production with built-in data quality and policy checks.
Instant Promotion Across Environments
Move seamlessly from dev → test → prod with confidence and rollback protection.
Continuous Delivery for Data
Deploy updates as fast as you can think — every pipeline, always in sync.
Native to Snowflake
Integrates directly with your Snowflake ecosystem and tools like dbt, Git, and Terraform.
Build your first Snowflake-native CI/CD
pipeline in under an hour
Use DataOps.live for Snowflake-native CI/CD and start getting your data AI-ready today. Get 500 minutes free every month then PAYG with Snowflake credits.
Meet Metis — Your Data Engineering AI Agent
Behind every fast pipeline is an intelligent teammate: the Metis AI agent. Built into the core of Dynamic Delivery, it understands your Snowflake environment, generates code, writes documentation, and manages deployments automatically.
Focus on what matters — optimizing data, not managing pipelines.
Join a Hands-On Lab
Get hands-on experience with AI-powered CI/CD for Snowflake.
In this live, guided session, you’ll:
1. Build your first automated pipeline using Dynamic Delivery
2. See Metis generate, test, and deploy code automatically
3. Learn how to apply governance and quality gates to every deployment
4. Watch your pipeline go from code to production in one click
Plus, you’ll get free access to the Dynamic Delivery app so you can keep building automated pipelines after the session.
Field notes from the data layer
Delivering Regulated AI at Scale for Pharmaceutical Companies
Get this in-depth guide on how pharmaceutical orgs like AstraZeneca have overcome AI delivery bottlenecks to accelerate...
Five Tips to Operationalize AI-ready data with DataOps Automation
AI success depends on DataOps automation to deliver truly AI-ready data
Snowflake Cortex Code and DataOps.live Metis fixed my pipeline – but this isn’t what surprised me
See the magic that happened when Snowflake's CoCo agent (Cortex Code) and DataOps.live Metis worked together to fix a...