---
title: Floe Blog | Spark
description: Spark | News from the development team at Floe
---

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 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 ](https://github.com/eng-floe/floecat) [LinkedIn ](https://linkedin.com/company/floedb)

# Blog

![](https://floedb.ai/hubfs/Illustrations/blog-heading-crop.png)

[![](https://floedb.ai/hubfs/Blog%20image%20take%202.jpg) ](https://floedb.ai/blog/floe-dev-update-q2-2026)

[Engineering](https://floedb.ai/blog/tag/engineering),

[Company](https://floedb.ai/blog/tag/company),

[CEO](https://floedb.ai/blog/tag/ceo)

# [Floe dev update - Q2 2026 Our mid-2026 development update featuring FloeScan, enabling interactive queries on massive Iceberg and Delta lakehouse tables.](https://floedb.ai/blog/floe-dev-update-q2-2026)

 by[![Neil](https://floedb.ai/hubfs/avatars/neil.png)Neil](https://floedb.ai/blog/author/neil)·Jul 6, 2026 2:11:45 PM

All  Engineering  CEO  Data  Data Types  Query Planning  Performance  Product  C  Company  Databricks  FloeSQL  Iceberg  Java  metadata  AI Agents  Floecat  Geospatial  I/O  JSON  Kubernetes  Lakehouse  Rust  Spark

[ All ](https://floedb.ai/blog) [ Engineering ](https://floedb.ai/blog/tag/engineering) [ CEO ](https://floedb.ai/blog/tag/ceo) [ Data ](https://floedb.ai/blog/tag/data) [ Data Types ](https://floedb.ai/blog/tag/data-types) [ Query Planning ](https://floedb.ai/blog/tag/query-planning) [ Performance ](https://floedb.ai/blog/tag/performance) [ Product ](https://floedb.ai/blog/tag/product) [ C ](https://floedb.ai/blog/tag/c) [ Company ](https://floedb.ai/blog/tag/company) [ Databricks ](https://floedb.ai/blog/tag/databricks) [ FloeSQL ](https://floedb.ai/blog/tag/floesql) [ Iceberg ](https://floedb.ai/blog/tag/iceberg) [ Java ](https://floedb.ai/blog/tag/java) [ metadata ](https://floedb.ai/blog/tag/metadata) [ AI Agents ](https://floedb.ai/blog/tag/ai-agents) [ Floecat ](https://floedb.ai/blog/tag/floecat) [ Geospatial ](https://floedb.ai/blog/tag/geospatial) [ I/O ](https://floedb.ai/blog/tag/i-o) [ JSON ](https://floedb.ai/blog/tag/json) [ Kubernetes ](https://floedb.ai/blog/tag/kubernetes) [ Lakehouse ](https://floedb.ai/blog/tag/lakehouse) [ Rust ](https://floedb.ai/blog/tag/rust) [ Spark ](https://floedb.ai/blog/tag/spark)

<https://floedb.ai/blog/why-spark-joins-are-expensive-and-what-to-do-about-it>

[Performance](https://floedb.ai/blog/tag/performance),

[Databricks](https://floedb.ai/blog/tag/databricks),

[Query Planning](https://floedb.ai/blog/tag/query-planning),

[Spark](https://floedb.ai/blog/tag/spark) 

[ Why Spark joins are expensive - and what to do about it

 Spark joins are often considered expensive - leading users to prefer highly denormalised data models on Spark. Let us fact check this! 

](https://floedb.ai/blog/why-spark-joins-are-expensive-and-what-to-do-about-it)

 by[![Database Doctor](https://floedb.ai/hubfs/avatars/doctor.png)Database Doctor](https://floedb.ai/blog/author/thomas-database-doctor)·May 14, 2026 10:04:04 AM

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