Snowflake
Cloud data platform offering scalable warehousing, data sharing, and near-unlimited concurrency for analytical workloads.
Snowflake is a cloud-native data platform that separates compute from storage, enabling virtually unlimited scalability and concurrency. It's become the default data warehouse for many growth-stage and enterprise companies.
Key Features
Separation of compute and storage for independent scaling. Multi-cloud support (AWS, GCP, Azure). Near-zero maintenance — fully managed. Data sharing and marketplace. Time travel and fail-safe for data recovery. Support for semi-structured data (JSON, Avro, Parquet).
Best For
Companies that need high concurrency for many simultaneous users/dashboards. Multi-cloud organizations. Teams that want predictable performance regardless of data scale. Companies that need data sharing capabilities with partners or customers.
Limitations
Can be expensive if compute usage is not carefully managed. Credit-based pricing model can be confusing. Less cost-effective than BigQuery for infrequent, large-scan queries. Requires more data engineering setup than BigQuery's serverless model.
| Plan | Price | Details |
|---|---|---|
| Standard | $2/credit | Basic features; ~$2-3/hour per warehouse |
| Enterprise | $3/credit | Multi-cluster, 90-day time travel |
| Business Critical | $4/credit | HIPAA, PCI-DSS compliance |
Used by
DoorDash · Instacart · Adobe · Capital One · McKesson · Office Depot · Western Union · JetBlue
Use cases
- Building a central data warehouse for all growth metrics
- Supporting high-concurrency BI dashboards across teams
- Sharing data securely with partners via Snowflake Data Sharing
- Running complex analytical queries with predictable performance
Alternatives
- BigQuery — Google's serverless, highly-scalable cloud data warehouse designed for fast SQL analytics over massive datasets. (Free)