--- title: "HTAP is Dead" url: https://daily.dev/posts/htap-is-dead-6igg5kd8x source_url: https://neon.com/blog/htap-is-dead type: article source: "Neon" published: 2026-07-09T06:57:36.755Z updated: 2026-07-09T07:01:35.755Z tags: ["big-data", "data-warehouse", "olap"] reading_time: 5 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. # HTAP is Dead **[Neon](https://daily.dev/sources/neontech)** · 5 min read · 0 upvotes · 0 comments ## Summary A veteran database engineer who spent 10 years building HTAP systems at SingleStore argues that HTAP as a unified database architecture never achieved product-market fit. The post traces the history from single-database systems in the 1980s through the OLTP/OLAP split, the NoSQL era, the NewSQL and cloud data warehouse movements, and the 2014 coining of HTAP by Gartner. Key reasons HTAP failed include the difficulty of replacing entrenched OLTP systems, most workloads not needing distributed OLTP, cloud-native architectures favoring shared-disk over shared-nothing, and organizational silos between product engineering and data teams. Today, the modern data stack — CDC pipelines, open table formats like Iceberg, query engines like Spark and Trino, and real-time layers like ClickHouse — effectively implements HTAP through composition rather than consolidation, with the core challenge now being making the lakehouse real-time ready. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [What Is HTAP? Hybrid Transactional Analytical Processing Explained](https://daily.dev/posts/what-is-htap-hybrid-transactional-analytical-processing-explained-1acrd3d2i) · CrateDB · 0 upvotes · 0 comments - [One Copy, One Engine, No Seams](https://daily.dev/posts/one-copy-one-engine-no-seams-neaxtnce2) · SingleStore · 0 upvotes · 0 comments - [Why Real-Time and AI Break the Classic Data Stack](https://daily.dev/posts/why-real-time-and-ai-break-the-classic-data-stack-hnpharhri) · SingleStore · 0 upvotes · 0 comments - [Why ad platforms run six databases to answer one question](https://daily.dev/posts/why-ad-platforms-run-six-databases-to-answer-one-question-9dew0upb3) · SingleStore · 1 upvotes · 0 comments - [From monolith to Lakebase to LTAP: rethinking the database from storage up](https://daily.dev/posts/from-monolith-to-lakebase-to-ltap-rethinking-the-database-from-storage-up-gsup5t8nr) · databricks · 6 upvotes · 0 comments --- Tags: [#big-data](https://daily.dev/tags/big-data), [#data-warehouse](https://daily.dev/tags/data-warehouse), [#olap](https://daily.dev/tags/olap) [View this post on daily.dev](https://daily.dev/posts/htap-is-dead-6igg5kd8x)