Runs analytic SQL on a fully managed, cloud-native data platform that auto-scales, auto-suspends, and separates storage from compute.
Built for the cloud, Snowflake separates storage and compute, so you scale warehouses up or down in seconds and pay only for the resources you use. No patching or capacity planning required.
Use standard SQL. Define your schema, load data, and let Snowflake handle clustering, compression, and replication behind the scenes.
COPY INTO ingests CSV, JSON, or Parquet from cloud buckets in parallel.Snowflake automatically detects file partitions and optimizes data files for quick query performance.
Set AUTO_SUSPEND to minutes of inactivity and AUTO_RESUME to TRUE. Size warehouses only as large as peak concurrency demands, then rely on multi-cluster scaling when sessions spike.
Transient tables skip fail-safe storage, saving costs for short-lived staging data while still allowing Time Travel recovery.
Create roles for analysts, engineers, and admins.Grant the least-privilege rights on databases, schemas, and tables. Use network policies and masking policies for extra protection.
Query ACCOUNT_USAGE views for warehouse credits and storage. Schedule dashboards or alerts to catch abnormal spend early.
.
No. Micro-partitioning and automatic clustering negate traditional indexing. Focus on good data types and pruning filters.
Yes. VARIANT columns store JSON, Avro, Parquet, and more. Use the dot notation and FLATTEN to extract values.
Standard accounts keep 1 day; Enterprise keeps 90 days. You can adjust each database or table individually.