# Why HTAP Databases Are Giving Way to Disaggregated Architectures

DevFeed: [Why HTAP Databases Are Giving Way to Disaggregated Architectures](<https://devfeed.tech/articles/htap-is-dead-5421.md>)

Original publisher: [Read original article](<https://neon.com/blog/htap-is-dead>)

Author: Zhou Sun

Published: 2025-05-04T10:00:00Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Databases](<https://devfeed.tech/topics/databases.md>), [olap](<https://devfeed.tech/topics/olap.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [consistency](<https://devfeed.tech/topics/consistency.md>), [NoSQL](<https://devfeed.tech/topics/nosql.md>), [MongoDB](<https://devfeed.tech/topics/mongodb.md>), [Hadoop](<https://devfeed.tech/topics/hadoop.md>), [hdfs](<https://devfeed.tech/topics/hdfs.md>), [CockroachDB](<https://devfeed.tech/topics/cockroachdb.md>), [Amazon Redshift](<https://devfeed.tech/topics/amazon-redshift.md>), [vitess](<https://devfeed.tech/topics/vitess.md>)

Tags: [cloud](<https://devfeed.tech/tags/cloud.md>), [cloud-data](<https://devfeed.tech/tags/cloud-data.md>), [cockroachdb](<https://devfeed.tech/tags/cockroachdb.md>), [consistency](<https://devfeed.tech/tags/consistency.md>), [data-lake](<https://devfeed.tech/tags/data-lake.md>), [databases](<https://devfeed.tech/tags/databases.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [hadoop](<https://devfeed.tech/tags/hadoop.md>), [hdfs](<https://devfeed.tech/tags/hdfs.md>), [latency](<https://devfeed.tech/tags/latency.md>), [mongodb](<https://devfeed.tech/tags/mongodb.md>), [olap](<https://devfeed.tech/tags/olap.md>), [redshift](<https://devfeed.tech/tags/redshift.md>), [sql](<https://devfeed.tech/tags/sql.md>), [vitess](<https://devfeed.tech/tags/vitess.md>)

## AI overview

The article traces the separation of transactional and analytical database workloads, explaining how differing storage and scaling requirements led to specialized OLTP and OLAP systems. It argues that HTAP as a single database architecture is declining while its underlying ideas persist in today's disaggregated data stack.

## Source excerpt

This blog is inspired by Jordan Tigani's "Big Data is Dead." Jordan and I actually spent some time building an HTAP database at SingleStore. From the one database that did everything in the '80s, to the great divide, to HTAP, to today's disaggregated stack--here's why HTAP as a database is dead, but its spirit lives on.