“The data foundation we built with Snowflake allows us to adapt quickly while keeping client data secure and private.”
John Saunders
VP of Product, Power Digital
Product Category
Snowflake for Data Engineering
Make your data AI-ready, and focus on data quality rather than infrastructure tuning. Now you can harness the full potential of your data from birth to insights with ZeroOps data engineering, limitless interoperability and enterprise-grade AI.
use cases
Take your data from raw to AI-ready
Enable reliable data movement
Build, deploy and optimize data pipelines faster
- Streamline the entire pipeline lifecycle and quickly adopt new data engineering practices — or merge with existing workflows.
- Democratize data engineering with Snowflake’s end-to-end workflows, which include a growing set of native capabilities and tight integrations with open standards and data engineering-specific tools.
Securely connect any data
Bring Snowflake to your data
Build an interoperable lakehouse faster using flexible open source standards while maintaining the reliability and security of the AI Data Cloud.
Seamlessly integrate with existing data lakes or lakehouse architectures to eliminate silos from ingestion to insights, expediting value across one or all of your workloads.
Innovate with AI
Unlock the potential of even the most advanced AI use cases
- Access and process an array of unstructured and semi-structured data with an open, flexible architecture.
- By simplifying the complexities of data engineering across the entire pipeline, Snowflake makes it surprisingly easy to build generative AI applications, enable AI agents with near real-time data flows and more.
Developer Experience
Manage delivery of your AI data foundation
- Focus more efficiently on your work with developer productivity tools like native development environments, Git integration and observability views and alerts.
- DevOps in Snowflake allows you to streamline and automate the software development lifecycle for all your Snowflake environments.
Benefits
Setting new standards for data engineering
Zero Ops data engineering
Code and automate pipelines with confidence
Meet data SLAs, automate repetitive tasks and deliver results that make a real impact. By focusing on outcomes instead of infrastructure, you can be free of operational overhead through native data engineering capabilities and integration with open standards including Apache Spark™, Apache Iceberg™, Apache Nifi™, dbt, pandas and more.
Limitless Interoperability
Lower TCO, improve performance and reduce vendor lock-in
Build without borders with Snowflake’s end-to-end data engineering platform that interoperates with the technologies you know and love, both within the platform and outside it.
- Free data movement between data sources and destinations with Snowflake Openflow — an open, extensible, managed, multi-modal data integration service.
- Streamline data transformation workflows with dbt Projects on Snowflake.
- Bring code to data and jumpstart development across coding languages with Snowpark.
Turbocharge AI
Deliver on the promise of AI
Enable AI agents to collaborate, share context and make decisions at machine speed with support for structured and unstructured formats in near real-time, bi-directional data flows.
With Snowflake’s enterprise-grade features built across the platform, you can power even your most advanced business solutions with agile, efficient and reliable data architecture.