One platform. Every workload. Complete control.
DataOps.live is a unified 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.
With automation, testing, governance, and observability built in, you can streamline development and operations across every Snowflake use case.
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 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.
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.
Isolated, safe development environments
Each engineer can build and test in their own space without risk to production, avoiding surprises and slowdowns.
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 Gen AI
Use intelligent tooling and AI-guided workflows to move faster, reduce toil, and focus on delivering business value.
DataOps.live is free for Snowflake!
Snowflake is a two-time investor, strategic partner, and satisfied customer, helping DataOps.live set the new standard for data engineering at scale. Get 500 free monthly minutes, forever!
If there is one tool that will change your life forever it is Dataops.live. Go and see for yourself - this is the heart of your modern data stack!
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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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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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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.
- Accelerate your dbt™ Core projects with DevOps and CI/CD out of the box.
- 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), fast.
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!
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.
Use AI to increase productivity and get things done faster
Simplify and automate everyday tasks regardless of your role.
- Vibe-code your data engineering workloads
- Summarize and explain team members' work
- Benefit from guided actions for pipeline failure
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
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.
Try Our Free
Native Apps
Get started with Dynamic Delivery or Dynamic Transformation. No extra infrastructure. No setup. Just 500 minutes monthly—free, forever.
Additional resources
Explore the Developer Hub
Read platform documentation
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