Or follow us on social media:
Floe is under active development and will enter Beta soon. We’d love for you to help us shape the world's best Lakehouse SQL compute engine.
GitHub LinkedIn

Blog

Iceberg,
CEO,
metadata

Lakehouse Statistics II: Range metadata

Range metadata is to lakehouses as aisle signs are to supermarkets: Without the aisle signs, it would take shoppers forever to find the items they need.
by·
Company,
Data Types
Surviving Legacy Code: Renegotiating Old Contracts
Refactoring old code often requires careful attention to the contracts previously put in place
by·
Engineering,
CEO,
Data Types,
Query Planning,
Lakehouse
Lakehouse statistics and why query engines get lost
Statistical metadata is to SQL Engines as maps are to delivery drivers. Without maps, drivers get lost; without statistics, SQL Engines also get lost.
by·
Data,
Data Types,
Query Planning
Why bother with Data Modelling - Part 4: Composite Keys
Composite keys are sometimes necessary - but they have downsides. Digging into the tradeoffs for using composite keys.
by·
Engineering,
Data Types
How Variant will Replace JSONB in Lakehouses
A deep dive into the variant data type in lakehouses
by·
Follow us
Floe is under active development and will enter Beta soon. We’d love for you to help us shape the world's best Lakehouse SQL compute engine. Please follow us by clicking the button below.