Databases can usually be split into one of two types; OLTP (row-based) or OLAP (columnar). OLTPs are used mostly for transactional workloads whereas OLAP is mostly used for analytics.
Here goes...
Take 1: sqlite is to Postgres, what duckdb is to Snowflake/BigQuery.
Take 2: In a similar way that sqlite is an in-process/memory OLTP, duckdb is an in-process/memory OLAP.
I should mention some caveats/exceptions/notes about my statements above:
- there are OLAP projects out there that use Postgres as their basis.
- HTAPs are DBs that allow you to define tables as either row-based or columnar.
- duckdb works with sqlite tables, and its SQL is heavily based on postgres SQL
- duckdb 0.9.0 is being released next week :)
- It seems duckdb is poised to become an almost ubiquitous component of the analytical stack. Apache Iceberg, dbt, ...
Here goes...
Take 1: sqlite is to Postgres, what duckdb is to Snowflake/BigQuery.
Take 2: In a similar way that sqlite is an in-process/memory OLTP, duckdb is an in-process/memory OLAP.
I should mention some caveats/exceptions/notes about my statements above:
- there are OLAP projects out there that use Postgres as their basis.
- HTAPs are DBs that allow you to define tables as either row-based or columnar.
- duckdb works with sqlite tables, and its SQL is heavily based on postgres SQL
- duckdb 0.9.0 is being released next week :)
- It seems duckdb is poised to become an almost ubiquitous component of the analytical stack. Apache Iceberg, dbt, ...