Faster data engineering.
Better insights.
Introducing the Dynamic Suite™ of
Native Apps for Snowflake!
“DataOps.live continues to add advanced, full-featured data engineering tools for new and future Snowflake releases that accelerate time-to-success, optimize data engineering workflows and efficiently manage data lifecycles in the cloud.”
Jeff Hollan, Head of Applications and Developer Platform, Snowflake
Designed for Snowflake, built for data engineers
The DataOps.live Dynamic Suite™ is a family of native apps that accelerate data engineering projects within Snowflake. Simplify development, testing, and deployment to turn your complex data pipelines into usable insights.
Accelerate your dbt™ projects
Dynamic Transformation from DataOps.live adds features to help you get the most out of dbt™. Use pipeline automation, governance, and automated testing to run standardized dbt™ processes in minutes instead of days.

Accelerate your CI/CD pipeline
Dynamic Delivery brings speed and structure to your CI/CD process. Design faster, enforce governance policies, and automate testing and validation across environments.
The world's best data engineers use DataOps.live
If there is one tool that will change your life forever it is Dataops.live. Go and see for yourself as this is the heart of your modern data stack!
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This approach delivers strong governance, the necessary geo-restrictions, departmental autonomy, and that all-important innovation at speed.
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DataOps.live delivered in a massive, massive way and we couldn't imagine where we'd be now without their partnership.
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A lot of the functionality in DataOps.live, such as command line features to reverse engineer certain tables into their soul language, just really speeds up development.
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DataOps.live is about collaborative development. It’s about the ability to coordinate and automate testing and deployment, and therefore shorten the time to value.
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DataOps.live continues to be a true partner, supporting OneWeb’s continuous rollout of data products across the organization for the benefit of our customers.
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The only DataOps platform purpose-built for Snowflake
Snowflake is a two-time investor, strategic partner, and satisfied customer of DataOps.live. More than 1200 in-house Snowflake sales engineers and field CTOs use our platform every day to create and deliver customer demos, and 800 other employees use it to access analytics and observability. We’re working together to set a new standard for data engineering at scale.
“DataOps.live enables organizations to build, test, and deploy Snowflake products and applications. It increases speed of development and accelerates adoption.” —Stefan Williams, Head of Corporate Development, Snowflake Ventures
Free access for Snowflake users
Snowflake is partnering with DataOps.live to give existing customers access to the Dynamic Suite. Get 500 free monthly minutes to transform your dbttm and CI/CD projects.
Enabling both speed and quality
Average pipelines
run weekly
Projects powered by
DataOps.live daily
Quality data delivered
(last 12 months)
Bad data stopped
(last 12 months)
Why DataOps.live?
Because building pipelines isn’t the hard part—operationalizing them at scale is. Our data engineering platform standardizes your data stack without slowing you down.
- Work faster, safer, and more collaboratively in Snowflake.
- Controlled end-to-end lifecycle management
- Isolated, safe development environments
Built for the people behind the pipelines
Data engineers
Automate redundant tasks and deliver insights faster with dynamic solutions for dbt™ and CI/CD.
Data product owners
Make product management effortless and exceed your end users’ expectations.
DBAs
Harmonize conflicting goals across data silos and automate infrastructure to maintain performance.
Data leaders
Achieve faster time to value, align your teams around shared standards, and reduce enterprise risk.
Deliver data products with speed and control
Want to see the Dynamic Suite in action? Join our data engineering team for a hands-on lab to learn how to bring your data projects to life.
Field notes from the data layer

Racing to Data Confidence: Speed Value with Comprehensive Observability
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Snowflake Case Study
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