FREE DATABASES & DATA SYSTEMS TRACK

Analytical & columnar

How do billions of values become an interactive answer?

How do billions of values become an interactive answer?

Learn columnar layout, compression, vectorized execution, partitions, distributed scans, and storage-compute separation.

Systems compared

  • ClickHouse
  • DuckDB
  • Snowflake
  • BigQuery
  • Redshift

Open the engine

  1. Column encodings
  2. Vectorized execution
  3. Partition pruning
  4. Materialized views
  5. Distributed query execution

Reconstruction lab

Run one analytical workload row-wise and column-wise, inspect the plans, and explain the performance gap.

Open this database track free →