Get Started with DataOps.live

If you are a data engineer building data products for ingestion, transformation, and data quality, DataOps.live is designed to meet your needs.

It is purpose-built for building, testing, and deploying data products quickly and confidently—especially on Snowflake. It removes the heavy lifting of infrastructure by incorporating DevOps and Agile into data processes.

DataOps.live also integrates Gen AI to enhance how you build and manage data products. For example, you can instantly interact with its AI assistant to boost productivity and create your SQL, Python, or container code for your data engineering needs.

To get started, we recommend you to use our specialized apps for data engineering with dbt Core and Snowflake automation with CI/CD.

Dynamic Transformation (DataOps for dbt)

dbt Core handles transformation and modeling well, but scaling it in production gets complex. DataOps for dbt (Dynamic Transformation) solves that by wrapping your dbt Core projects with enterprise-grade automation, orchestration, and governance. So, to automate your data transformation workflows, get started with DataOps for dbt.

Dynamic Delivery (CI/CD for Snowflake)

With Dynamic Delivery, managing Snowflake schema changes becomes seamless and automated. Instead of scripting and deploying schema changes manually, DataOps.live takes over—validating, testing, and deploying changes automatically. This cuts errors, reduces manual work, and speeds up getting data into production. Start using Dynamic Delivery (CI/CD for Snowflake) now.

Don’t see your use case above?

No worries; DataOps.live has an Analytical Data Product builder for you. Built-in automation and version control let you create your data product in just a few steps. Interested in building a full Snowflake Native App and list it on Snowflake marketplace? Contact us, and we show you how!