DuckDB vs Redis

Query 50GB Parquet files on S3 directly from Python without ETL, returning results in seconds

Replace pandas aggregations with SQL-based DuckDB queries for 10-50x faster group-by operations

Run dbt models locally against DuckDB instead of cloud warehouses to cut development cycle time

Use DuckDB as a compute engine over Delta Lake or Iceberg tables without a dedicated cluster

Redis stores user session data with consistent sub-millisecond GET operations, handling 100K+ requests per second with a single instance where a database session store would create a bottleneck.

Redis INCR with EXPIRE implements sliding window rate limiting in 2 lines of code, enforcing per-user API quotas without adding a separate rate limiting service.

Redis Pub/Sub broadcasts events to thousands of connected subscribers in under 1ms, enabling real-time dashboards or notifications without polling the database.