Prompt
What should I use if analysts need fast SQL on large tables?
Latest observation
If analysts need fast SQL on large tables, you generally want a columnar analytical database / data warehouse rather than a traditional row-oriented OLTP database.
Good options:
- Snowflake — easy to use, scalable, very common for analyst SQL
- BigQuery — great for serverless, very large-scale analytics
- Redshift — solid if you’re already in AWS
- ClickHouse — excellent for very fast analytical queries, especially on large event-style tables
- Databricks SQL / Delta Lake — good if you’re in a lakehouse setup
Rule of thumb:
- If the main need is interactive analytics on huge tables, use a columnar warehouse.
- If you need sub-second dashboards on very high query volume, consider ClickHouse or a pre-aggregated serving layer.
- If your tables are in a general-purpose database like PostgreSQL/MySQL and queries are slow, those usually won’t scale as well for heavy analyst workloads.
If you want, I can recommend the best choice based on your stack, data size, and budget.
Observation history
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