---
title: "Dremel: Interactive Analysis of Web-Scale Datasets"
description: "Dremel is a strong systems pick for understanding columnar analytics, nested data, and query serving at scale. It connects directly to Fanout's storage and analytics material without becoming a database-product tour."
canonical_url: "https://fanout.sh/daily/2026-07-05-dremel"
md_url: "https://fanout.sh/daily/2026-07-05-dremel.md"
last_updated: "2026-07-05"
access: "public"
---

# Dremel: Interactive Analysis of Web-Scale Datasets

Dremel is a strong systems pick for understanding columnar analytics, nested data, and query serving at scale. It connects directly to Fanout's storage and analytics material without becoming a database-product tour.

## Paper details

- Authors: Melnik et al.

- Venue: VLDB 2010

- Track: Systems

- Difficulty: Medium

- Reading time: 45 min

- Original paper: https://research.google/pubs/dremel-interactive-analysis-of-web-scale-datasets/

## What you will learn

- Why columnar layout can reduce bytes read for analytical queries.

- How nested records can be represented with repetition and definition levels.

- Why interactive analytics needs a different serving shape than OLTP.

## Continue exploring

[Explore Columnar Systems](https://fanout.sh/system/archive/columnar-vs-wide-column-stores): Read Fanout's columnar storage note and connect Dremel to analytics scans, warehouse layout, and serving tradeoffs.

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