Floe Blog
News from the development team at Floe
DatabasesPerformance / optimizationDistributed systems / cloud
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- 26 from 19 Jan 2026 to 27 Oct 2026
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- weekly (26 in the last year)
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2026 26
- Floe at Carnegie Mellon University
- Floe dev update - Q2 2026
- Lakehouse Statistics II: Range metadata
- Surviving Legacy Code: Renegotiating Old Contracts
- Why Spark joins are expensive - and what to do about it
- Lakehouse statistics and why query engines get lost
- Predicate pushdown, a planner perspective
- Why bother with Data Modelling - Part 4: Composite Keys
- Why bother with Data Modelling - Part 3: Keys
- How Variant will Replace JSONB in Lakehouses
- Why bother with data modelling - Part 2: Rules or Structure?
- Why bother with Data Modelling? - Part 1 Data Modelling tutorial series
- After 30+ years, "Is Linux disk I/O finally fast enough?" Testing uring against custom NVME userspace drivers.
- No Policy, No Deploy: Kubernetes Governance with Kyverno Kyvermo can help you create powerful policies for your kubernetes cluster. This blog shows you how.
- Floe dev update - Q1 2026 Floe's first development milestone in Q1 2026
- Databricks EXPLAIN ANALYSE Extracting EXPLAIN ANALYSE from Databricks is hard - but doable. This blog describes how.
- Surviving Legacy Code: From Critic to Caretaker Reflecting on how to maintain and expand legacy code
- Why JSON isn't a Problem for Databases Anymore Experiments in speeding up JSON parsing and access.
- Blast Through the Mountain - Practicing Fearless Engineering How to give developers the power they need to make better code.
- Two Bits Are Better Than One: making bloom filters 2x more accurate Optimisation of bloom filters in Floe using double bit setting with lightweight hashing.
- Databases should contain their own Metadata – Instrumentation in Floe A database should contain all observable objects as system views. An introduction to how Floe Database handles system views.
- Introducing Floecat: A Catalog of Catalogs for the Modern Lakehouse Floecat, an open-source catalog-of-catalogs designed to add a planner-friendly metadata layer across heterogeneous catalogs.
- Hello, Floe. Floe is our new start-up. I'm going to share what it's about, and why it matters.
- How we made geo joins 400× faster with H3 indexes Using H3 indexes to greatly speed up geospatial SQL Queries. Orders of magnitude improvements can be gained with the right data structures
- How we didn't pick Rust Rust vs Quarkus vs C++. A story of why Floe did not pick Rust and how we went about making that decision.
- URI and Paths in Java - A painful lesson How to parse URI, URL and Paths with Java. The pitfalls and the best practise