Useful Data Tips

Snowflake

⏱️ 8 sec read 🗄️ Data Management

What it is: Cloud data warehouse. Auto-scaling, pay-per-use, separation of storage and compute.

What It Does Best

Scale without thinking. Query performance stays consistent. Add compute instantly, remove when done.

Multi-cloud. Runs on AWS, Azure, GCP. Same SQL, same features everywhere.

Zero maintenance. No servers to manage. No tuning. No indexes. Just write SQL.

Pricing

Pay-per-use: $2-4/credit-hour (compute) + ~$23/TB/month (storage)

Typical: $200-2,000/month for small teams, $10k+/month for heavy users

When to Use It

✅ Analytics on large datasets (TB+)

✅ Variable workload (scale up/down)

✅ Multiple teams needing different compute

✅ Don't want to manage infrastructure

When NOT to Use It

❌ Transactional database needs (use Postgres)

❌ Small datasets (< 100GB, Postgres cheaper)

❌ Need sub-second query response (not optimized for OLTP)

Bottom line: Data warehouse made easy. Expensive for small use, but scales painlessly. If you're drowning in data and query performance, Snowflake solves it.

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