AI-Powered CI/CD
for Snowflake
Free tool for Snowflake engineers
Dynamic Delivery™
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.
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.
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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.
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Get Snowflake-native CI/CD
free for 500 minutes monthly
Use DataOps.live Dynamic Delivery™ for Snowflake-native CI/CD. 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.
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Why 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.
Join the next hands-on lab
Our data engineering team hosts hands-on labs every Thursday,
but space is limited for optimal learning.
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