Data (Product) Delivery Reimagined

Jumpstart your data product and native app builds.

Get fully governed and documented MVPs in 10 minutes.

Create gets you started with any workload type. Collaborate with your data product owners early and often to build fully governed, documented, and business-aligned solutions — fast. 

• Publish a dataset as a trusted data product for your business stakeholders.
• Build, test, and deploy a Snowflake Native App consisting of one or more UDFs, Snowflake AI, Snowflake ML, Snowpark Container Services (SPCS), or Streamlit to the Snowflake Marketplace.
• Import your dbt Core projects to get support for dbt Core™ and leverage DevOps and CI/CD out of the box. 

Amplify your DataOps impact.

Use Assist as your copilot to increase productivity and get things done faster.

Assist is a chat-based AI-powered copilot that simplifies your everyday life. Every team member’s workflow gets easier, regardless of their role. Use Assist to increase productivity and collaborate faster with your team.

• Simplify your development process by automating data generation, model construction, table joining, test creation, and documentation.
• Summarize and explain 1,000+ lines of complex SQL or Python to pick up where others stopped.
• Use it during peer review and release management sessions to quickly summarize and describe all changes.
• Get guided action for incident resolution on data pipeline failures and see your cases closed in half the time.

Use one environment for any Snowflake workload or use case.

Develop Snowpark, Streamlit, dbt models, Cortex, Snowflake Container Services, AI/ML workloads, and more in one environment.

Develop is a single integrated developer environment (IDE) built on continuous development principles. It allows data engineers to develop, validate, test, and review code (SQL, Scala, Java, Python, Snowpark, dbt™, etc.). Data science engineers can build and test containers for Snowflake Container Services leveraging GPU-accelerated AI workloads. And software engineers can code sophisticated data applications with Streamlit. All while:

• Eliminating the work and hassle of creating and updating local dev environments
• Requiring zero installation since it works in your browser
• Allowing you to make changes and test them in seconds, not minutes or hours
• Coding in an environment that’s virtually identical to production, eliminating the common 'well it worked on my laptop' issue!

Learn one tool to get started quickly on even the most complex Snowflake use cases.

Orchestrate all your data integration, data quality, and data governance tasks.

Easily create data pipelines with enhanced connectors for your most popular tools.

DataOps.live’s data product platform allows you to orchestrate all parts of your modern data platform. You will find an orchestrator for every need — data ingestion, data quality, data transformation, or data observability and governance. Orchestrators are your building blocks to create value from all your data and build trusted data products.

• Leverage data ingestion vendors like Fivetran or Stitch or load data from a Snowflake stage
• Assess your data quality with SODA, Monte Carlo, or dbt tests
• Transform your datasets with Informatica, Matillion, or dbt
• 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 for optimal data quality and productivity.

Manage and monitor pipelines in every stage of the DataOps process.

Operate lets data teams manage the data product workflow with stakeholders throughout its lifecycle. Automate moving and scheduling workloads to production and through the environment, operational SLAs, test execution, and more.

• Build and rebuild your DEV, TEST & PROD environments.
• Manage code and data in lockstep.
• Safely promote your data pipelines to the upstream environment.
• Automate regression testing for every deployment.

Gain real-time visibility and control over your operations and processes.

View, analyze, and manage operational metadata across your entire ecosystem, delivering insights to help you optimize spend and make the correct data-driven decisions.

Observe provides a unified and harmonized view of relevant metadata for better data reliability. Build trust by empowering every stakeholder with an understanding of all elements of their data products.

• Get real-time visibility into the usage and quality of data products (data observability)
• Monitor data pipelines’ health and set alerts to keep on top of issues
• Observe key account metrics to optimize user experience and costs