One platform. Every workload. 
Complete control.

Automate, orchestrate, and govern your data pipelines and 20x your productivity with one platform, purpose-built for Snowflake. 

Operationalize your data for the AI era

The DataOps.Live Automation Platform is a unified, AI-native platform for building and managing trusted data products. From commit to production, it gives your team tools to work faster, safer, and more collaboratively in Snowflake. 

Automated CI/CD, observability, governance, and data product delivery features streamline development and operations across every Snowflake use case. And our new data engineering AI agent Metis is there to handle every tedious manual task and help with everything else every step of the way.

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Why is modern data engineering still so hard?

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Lack of visibility slows safe deployment

Without a clear view of what’s current, making production changes feels risky, and it's easy to introduce errors.

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Collaboration breaks down without structure

When engineers work without guardrails, overlapping changes and overwrites become the norm.

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Rigid workflows kill velocity

If one team has to stop for another to deploy, your entire data operation grinds to a halt.

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Manual merges erode trust and time

Without automation, resolving conflicts from parallel work introduces delays and risk.

How DataOps.live makes it easy

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Controlled, end-to-end lifecycle management

Manage the full lifecycle of your data workflows from dev to deployment with versioning, testing, and auditability built in.

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Isolated, safe development environments

Each engineer can build and test in their own space without risk to production, avoiding surprises and slowdowns.

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Guardrails that accelerate rollout

Enforce best practices automatically with policies and reusable templates that keep your team moving, quickly and safely.

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Acceleration across every Snowflake workload

Support dbt™, CI/CD, data products, and native apps—all from one platform. Enable parallel development to keep teams moving without blockers.

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Amplified productivity, powered by
Metis

Call on your data engineering AI agent Metis to handle tedious tasks, write code, get you unstuck, and focus on delivering business value.

DataOps.live Automation Platform Features

Everything you need to deliver trustworthy data

DataOps.live is built on four tightly integrated capabilities that work together to automate, monitor, and govern the entire data lifecycle in Snowflake.

As a DataOps automation platform, these features give data engineers, platform teams, and analytics leaders the foundation they need to deliver fast, reliable, and fully governed data every day.

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Automated CI/CD

Continuously automate structured integration and delivery to apply DevOps principles across your data lifecycle. 

  • Environment Manager for dev/test/prod environments.
  • Smart pipeline Orchestration ensures workflow reliability. 
  • Third-party Orchestration integrates and coordinates seamlessly.
  • Automated Testing continuously validates data pipelines and products.

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Continous observability

Gain complete insight into every aspect of your data pipeline to continuously monitor and validate your data’s health and reliability

  • AI-Ready Scoring assesses data and data products for AI use cases.
  • FAIR++ Scoring measures data against FAIR principles and more.
  • Intelligent Monitoring and Alerting detect issues in real time.
  • Data Quality Reporting provides dashboards and reports for stakeholders.
  • Enterprise Data Lineage tracks key requirements across the organization.

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Governance enforcement

Operationalize and enforce your governance policies and quality rules to ensure governance and compliance of every data product.

  • Audit Trails capture historical pipeline and job logs.
  • Quality Gates stop pipeline execution if data fails a check.
  • Policy Gates enforce organizational policies automatically.
  • Regulatory Gates apply embedded checkpoints to ensure compliance.
  • Federation and Reuse extend reusable rules consistently across domains. 

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Data product delivery

Standardize and share trusted data across the business by packaging, delivering, and scaling reusable AI data products. 

  • Data Product Directory provides a marketplace view.
  • Code Creation Engine generates production-ready code.
  • Test Case Generator builds validation tests for each product.
  • Embedded Governance Controls bake in rules and policies.
  • Documentation Builder creates complete, structured docs.

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Try the DataOps.live
Automation Platform – It's free

Take the first step to AI-ready data today. Choose to get the platform in your production environment (you'll need the right credentials) or with a Snowflake trial account.

Either way, it's free, and it lets you quickly see the value DataOps automation provides by guiding you through CI/CD pipeline automation in under an hour. Sign up now or join us at a hands-on lab to learn more. 

Trusted by data-driven professionals

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!

Photo of Paul Rankin
Paul Rankin
Former Head of Data Management Platforms @ Roche Diagnostics

DataOps.live delivered in a massive, massive way, and we couldn't imagine where we'd be now without their partnership.

Vernon Percival Tan
Vernon Percival Tan
Senior Manager frostbyte Industry Solutions @ Snowflake

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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Miguel Morgado
SPO of Digital Products @ OneWeb

Everything you need to build at scale

The DataOps.live Automation Platform gives you everything you need to engineer, automate, and deliver trusted data products inside Snowflake.
Explore key capabilities across every stage of the development lifecycle.

Jumpstart your DataOps projects in Snowflake

Get a quick-start UI for every use case: CI/CD, dbt™, data products, Snowflake Native apps — and this is just the beginning!

  • Bring speed and structure to your CI/CD process.
  • Publish a dataset as a trusted data product for your business stakeholders.
  • Build, test, and deploy a complex Snowflake Native App (UDFs, AI/ML, SPCS, Streamlit), quickly.
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Use one IDE for any
Snowflake workload

Develop and test SQL, dbt™ models, Streamlit, Snowpark ML, Cortex AI, Snowflake Container Services workloads, and more in one integrated developer environment (IDE), while:

  • Eliminating the hassle of creating and updating local dev environments.
  • Making changes and testing them in seconds (not minutes or hours).
  • Working in an environment that’s virtually identical to production, so there are no more 'It worked on my laptop' issues!
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Work as a team with confidence

Apply DevOps principles to data and deliver trusted insights everyday.

  • Enjoy automatic environment management. 
  • Get team member reviews and approvals easily.
  • Automatically document your merge requests with AI, so you have more time to focus on value creation.
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Use AI to increase productivity and get things done faster

Our Metis data engineering AI agent simplifies and automates everyday tasks across every role. 

  • Vibe-code data engineering workloads.
  • Summarize and explain team members’ work.
  • Resolve pipeline failures faster with AI guidance.
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Orchestrate every part of your modern data platform

Fnd an orchestrator for every need — data ingestion, data quality, data transformation, or data observability and governance.

  • Load data from a Snowflake stage.
  • Use Apache Iceberg tables to optimize data loading.
  • Leverage data ingestion tools like Fivetran or Stitch.
  • Assess your data quality with Monte Carlo or dbt™ tests.
  • Transform your datasets with Informatica, Qlik, Matillion, or dbt™ Cloud.
  • Model your data as a data vault with VaultSpeed.
  • Reuse all your AWS or Azure services.
  • Run arbitrary workloads on Containers.
  • ...or build your own with APIs, Python.
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Automate your data operations and deliver value to production fast

Manage and monitor data pipelines at every stage of the DataOps process.

  • Automate moving and scheduling workloads to production.
  • Promote changes rapidly to the upstream environment.
  • Operationalize your SLAs.
  • Benefit from automated testing.
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Enabling speed and quality

108K

Times teams stopped bad data in the last 12 months

4.9M

Times teams delivered high-quality data in the last 12 months

69K

Average number of pipelines run weekly

11K

Projects powered by DataOps.live daily

Ready to Work 20x Smarter in Snowflake?

Stop wrestling with manual workflows. Start building faster, safer, and more collaboratively with tools made for real data engineering teams.

Get started with native CI/CD for Snowflake

The first step toward AI-ready data is automating your CI/CD pipeline in Snowflake. DataOps.live makes it easy, and it's free! 500 minutes every month across test, dev, and prod followed by PAYG with Snowflake credits.

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