---
title: "Time-Series Storage: Design Choices That Shape Cost and Performance"
url: https://daily.dev/posts/time-series-storage-design-choices-that-shape-cost-and-performance-cur25l17x
source_url: https://www.infoq.com/articles/time-series-storage-design
type: article
source: "InfoQ"
published: 2026-05-12T09:06:41.063Z
updated: 2026-05-12T09:07:07.507Z
tags: ["data-science", "postgresql"]
reading_time: 18
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Time-Series Storage: Design Choices That Shape Cost and Performance

**[InfoQ](https://daily.dev/sources/infoq)** · 18 min read · 0 upvotes · 0 comments

## Summary

A deep dive into time-series storage design decisions that drive cost and query performance. Covers normalization vs. flat schemas in PostgreSQL (42% storage reduction with normalization), high-cardinality pitfalls, schema evolution with JSONB, columnar storage with Apache Parquet (up to 434x compression), wide vs. narrow schema trade-offs, two-dimensional partitioning (time + series identity) to avoid write hotspots, downsampling resolution ladders (720x row reduction from 5s to 1h), and dashboard read amplification mitigation strategies.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoq.com/articles/time-series-storage-design>

---

Tags: [#data-science](https://daily.dev/tags/data-science), [#postgresql](https://daily.dev/tags/postgresql)

[View this post on daily.dev](https://daily.dev/posts/time-series-storage-design-choices-that-shape-cost-and-performance-cur25l17x)