---
title: "The Architecture of Grab's Data Lake"
url: https://daily.dev/posts/the-architecture-of-grab-s-data-lake-rklsg6ftt
source_url: https://blog.quastor.org/p/the-architecture-of-grab-s-data-lake
type: article
source: "Quastor Daily"
published: 2025-02-24T21:05:41.198Z
updated: 2025-02-24T21:05:56.096Z
tags: ["big-data"]
reading_time: 6
upvotes: 88
comments: 0
language: en
---

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# The Architecture of Grab's Data Lake

**[Quastor Daily](https://daily.dev/sources/quastor)** · 6 min read · 88 upvotes · 0 comments

## Summary

Grab, a leading tech company in Southeast Asia, uses a data lake to manage its vast data, generated from services like ride-sharing and food delivery. The company uses Apache Avro with a Merge on Read strategy for high-throughput data, allowing efficient writes and periodic compaction to manage read costs. For low-throughput data, Grab uses Parquet with Copy on Write to ensure fast reads and data consistency. The post also discusses various data storage formats and their trade-offs in terms of readability, compression, and schema evolution.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.quastor.org/p/the-architecture-of-grab-s-data-lake>

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---

Tags: [#big-data](https://daily.dev/tags/big-data)

[View this post on daily.dev](https://daily.dev/posts/the-architecture-of-grab-s-data-lake-rklsg6ftt)
