---
title: "Spark is Dead. Long Live DuckDB."
url: https://daily.dev/posts/spark-is-dead-long-live-duckdb--83qxe4eu0
source_url: https://www.confessionsofadataguy.com/spark-is-dead-long-live-duckdb
type: article
source: "Confessions of a Data Guy"
published: 2026-05-31T07:44:05.347Z
updated: 2026-05-31T08:29:34.363Z
tags: ["devops", "data-engineering", "apache-spark", "databricks", "duckdb"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

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# Spark is Dead. Long Live DuckDB.

**[Confessions of a Data Guy](https://daily.dev/sources/confessionsofadataguy)** · 4 min read · 0 upvotes · 0 comments

## Summary

Apache Spark has peaked and is increasingly dominated by Databricks, which has turned it into a costly, complex enterprise product far removed from its open-source roots. DuckDB is emerging as a simpler, faster, and truly open-source alternative for the vast majority of data pipelines that don't actually need cluster compute. The author argues that most data workloads can be handled in-process with DuckDB — in Lambdas, Python scripts, Airflow jobs — and that the industry's addiction to the Lakehouse model and Databricks pricing will slowly give way to this leaner approach, even if the transition takes decades.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.confessionsofadataguy.com/spark-is-dead-long-live-duckdb>

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---

Tags: [#devops](https://daily.dev/tags/devops), [#data-engineering](https://daily.dev/tags/data-engineering), [#apache-spark](https://daily.dev/tags/apache-spark), [#databricks](https://daily.dev/tags/databricks), [#duckdb](https://daily.dev/tags/duckdb)

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