
report
Use Case
Conquer data complexity with an AI-ready data lakehouse that accesses data from nearly anywhere — regardless of catalog — to power your pipelines in a fully managed platform.
Explore more Enterprise Lakehouse use cases:
LEADERS POWER THEIR
LAKEHOUSE WITH SNOWFLAKE

























Scale your pipelines — not your cost — with automated and declarative tools that manage the infrastructure for you.
Unlock enterprise AI with a unified governance framework that provides built-in security, quality and discovery capabilities across your entire data estate.
Build a single, governed view of your data estate by connecting all existing and new data with flexibility and improved economics.
Scale your pipelines — not your cost — with automated and declarative tools that manage the infrastructure for you.
Unlock enterprise AI with a unified governance framework that provides built-in security, quality and discovery capabilities across your entire data estate.
Build a single, governed view of your data estate by connecting all existing and new data with flexibility and improved economics.
Scale your pipelines — not your cost — with automated and declarative tools that manage the infrastructure for you.
Connect any data
Connect to existing data with instant access to Iceberg tables in other catalogs (like AWS Glue) and open formats (such as Delta Lake and Parquet files) — all without moving data.
Ingest new data efficiently by streaming or batch loading any data type with Snowpipe and Snowpipe Streaming, or Openflow for 50%+ cost efficiency1.


Streamline pipelines
Shift your existing Apache Spark code directly onto Snowflake's engine using Snowpark Connect to reduce your TCO by 30–50%2.
Build pipelines declaratively, defining the data's end state and letting Snowflake handle the orchestration, scheduling and updates.
Deliver on your SLAs thanks to fast, reliable performance for virtually all users and jobs — without tuning or contention — delivered through isolated and elastic compute.
Govern for AI
Automate access control, defining a policy once with role-based and attribute-based access control (RBAC/ABAC), then enforcing it consistently wherever the data lives.
Use customizable quality controls and proactive alerts to monitor the health of your data pipelines and help ensure only trusted data is delivered.

customers

Affirm Achieves Data Sovereignty and Improves Performance
Affirm turned to Snowflake for its financial workloads to enhance operational efficiency and performance — without compromising flexibility and choice.

Resources
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1Cost reduction for Business Critical/Virtual Private Snowflake edition customers (with a full rollout expected to be completed soon).
2Based on customer production use cases and proof-of-concept exercises comparing the speed and cost for Snowpark versus managed Spark services between November 2022 and May 2025. All findings summarize actual customer outcomes with real data and do not represent fabricated data sets used for benchmarks.