# Hash Tables and Data Structure Performance

DevFeed: [Hash Tables and Data Structure Performance](<https://devfeed.tech/articles/content-addressable-storage-20537.md>)

Original publisher: [Read original article](<https://yurichev.com/blog/CAS/>)

Published: 2015-09-26T22:00:00Z

Content type: tutorial

Language: en

Sources: [Dennis Yurichev](<https://devfeed.tech/sources/dennis-yurichev.md>)

Topics: [Data structures](<https://devfeed.tech/topics/data-structures.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [arrays](<https://devfeed.tech/tags/arrays.md>), [c-plus-plus](<https://devfeed.tech/tags/c-plus-plus.md>), [cache](<https://devfeed.tech/tags/cache.md>), [data-structures](<https://devfeed.tech/tags/data-structures.md>), [hash](<https://devfeed.tech/tags/hash.md>), [performance](<https://devfeed.tech/tags/performance.md>), [python](<https://devfeed.tech/tags/python.md>)

## AI overview

This tutorial explains hash tables, including hashing keys into array positions, collision handling, and the typical constant-time lookup and insertion claim. It compares hash tables with binary search trees, linked lists, and arrays, noting that performance depends on element count, environment, and cache behavior.

## Source excerpt

Content-addressable storage