---
title: "Zero-ETL lakehouses for Postgres people"
url: https://daily.dev/posts/zero-etl-lakehouses-for-postgres-people-bm1mkpnmq
source_url: https://neon.com/blog/zero-etl-lakehouses-for-postgres-people
type: article
source: "Neon"
published: 2026-01-13T00:02:59.952Z
updated: 2026-01-13T00:03:25.062Z
tags: ["postgresql", "data-engineering", "databricks", "etl", "olap"]
reading_time: 13
upvotes: 1
comments: 0
language: en
---

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# Zero-ETL lakehouses for Postgres people

**[Neon](https://daily.dev/sources/neontech)** · 13 min read · 1 upvotes · 0 comments

## Summary

Data lakehouses combine the utility of data warehouses with the cost-efficiency of data lakes by unbundling OLAP databases into layered stacks. Unlike monolithic systems like Postgres, lakehouses separate storage and compute across six layers: object storage, compute, raw data formats (Parquet), table management (Iceberg/Delta Lake), catalogs, and query engines (Spark/DuckDB). This architecture enables cheap, performant ACID-compliant analysis of large datasets. Zero-ETL tools are emerging to bridge Postgres and lakehouse systems, including extensions like pg_duckdb, pg_lake, and pg_mooncake that help Postgres users leverage OLAP capabilities without abandoning familiar tooling.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://neon.com/blog/zero-etl-lakehouses-for-postgres-people>

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---

Tags: [#postgresql](https://daily.dev/tags/postgresql), [#data-engineering](https://daily.dev/tags/data-engineering), [#databricks](https://daily.dev/tags/databricks), [#etl](https://daily.dev/tags/etl), [#olap](https://daily.dev/tags/olap)

[View this post on daily.dev](https://daily.dev/posts/zero-etl-lakehouses-for-postgres-people-bm1mkpnmq)